Tweet-collections.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "HACKANONS COLAB 25GB RAM.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "machine_shape": "hm",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/AmbiTyga/ASL-Classifier/blob/master/Tweet-collections.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bda5pFIyPMSi"
      },
      "source": [
        "||consumer-key|consumer-secret|access-token|access-token-secret|\r\n",
        "|-|------------|---------------|------------|-------------------|\r\n",
        "|1.|'7yyyT8SL3ZhbZnO2SDAbc95mY'|'2VL25ca3ckKZzv89Efe57qJC67rzFsyovV9V4JELqWAA5H3O9f'|'983655149049528321-RrTBmkk67qpAgOeiBPNjrSIvgi77Vtm'|'0zeSsJmvuPIGQz60PH8fyxw6StMswhmJvqMBJHyC4RGa8'|\r\n",
        "|2.|'afSquKSqkrs8eqrNr8aJ2gZTo'|'0JEyc80fzjo9BT6K99wfaJGZQJWabWgIVyo1vnNNju8Cmlz8R8'|'983655149049528321-gaHXrE4TYGjRNGFbuuhBWT6uoeDqP85'|'tupkn43qGuGoVbIr4SkxLbOitClYJpHRB7guUGkWKeFHV'|\r\n",
        "|3.|'U5B8didckAvhEYbglEGjQZFKy'|'kKYy8kk5Uz6L7Sf81F3Yl2WLCOcVUmfLpoVHaE2nZ9oMFd9Geg'|'983655149049528321-Qfg97mu8ayy4vnPdTbhZ9G5iNEz1QOx'|'lkBYzpG2xJtqoBGBbAhVkfNwHSv4Uws582FfPY0AFMHdr'|\r\n",
        "|4.|'HWXlr3Kvay09d0U2IqBsWM8ml'|'r0418axVb8pTt0NTHq3SX2g5S00aSlSAILstPEMJyXg0P1ZYNS'|'983655149049528321-JhgRvArPCnUEp7aHiDG1mQic2bTRjf5'|'ZfEzo8G70IpgcvcpaQfbMXYgwmCI3tiwKzsCPmAfqWjo2'|\r\n",
        "|5.|'NxxrPJ8RIE6TA7sNw0Gj5p98D'|'cOieHviP3bzkQ9SjVKII5jWR7RWVDQYGRdtXDY9OwYWSjclEBq'|'3178807178-1VS1Mdi7qYoQbuPPRRG5Fa75WmPn2q9hoyxrQBc'|'c0bonCEZUBauXLYqI1I2nouAX250NBjRLn5CYDHkrYTkb'|\r\n",
        "|6.|'UJQWbFqI7cl4Q01SzeGUbKUp5'|'BPpQikbmAsrWmeVRNYbprWe84cYVpFXnMWJyFOh1dxkoo7dHoG'|'983655149049528321-UC9KApH4Fhph2rWLZDJqlsxsHDcb1wx'|'ADfG5LGfqu0jG6Yqn0kqrr1FmUuQlkrfVJ3F4N2Mg5mSS'|"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SlpPnSbfeIUZ"
      },
      "source": [
        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)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a59Y5tjeenHv"
      },
      "source": [
        "#@title Download Dataset\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/verified-2019/verified-2019.tar.gz -q\r\n",
        "!mkdir verified\r\n",
        "!tar xzf verified-2019.tar.gz -C verified\r\n",
        "!rm verified-2019.tar.gz\r\n",
        "print(\"Verified-2019 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/midterm-2018/midterm-2018.tar.gz -q\r\n",
        "!mkdir midterm\r\n",
        "!tar xzf midterm-2018.tar.gz -C midterm\r\n",
        "!rm midterm-2018.tar.gz\r\n",
        "print(\"Midterm-2018 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/astroturf/astroturf.tar.gz -q\r\n",
        "!mkdir astro\r\n",
        "!tar xzf astroturf.tar.gz -C astro\r\n",
        "!rm astroturf.tar.gz\r\n",
        "print(\"AstroTurf downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/botwiki-2019/botwiki-2019.tar.gz -q\r\n",
        "!mkdir botwiki\r\n",
        "!tar xzf botwiki-2019.tar.gz -C botwiki\r\n",
        "!rm botwiki-2019.tar.gz\r\n",
        "print(\"Botwiki-2019 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/cresci-stock-2018/cresci-stock-2018.tar.gz -q\r\n",
        "!mkdir stock\r\n",
        "!tar xzf cresci-stock-2018.tar.gz -C stock\r\n",
        "!rm cresci-stock-2018.tar.gz\r\n",
        "print(\"Cresci Stock downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/cresci-rtbust-2019/cresci-rtbust-2019.tar.gz -q\r\n",
        "!mkdir cresci-rtbust\r\n",
        "!tar xzf cresci-rtbust-2019.tar.gz -C cresci-rtbust\r\n",
        "!rm cresci-rtbust-2019.tar.gz\r\n",
        "print(\"Cresci Rtbust downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/gilani-2017/gilani-2017.tar.gz -q\r\n",
        "!mkdir gilani\r\n",
        "!tar xzf gilani-2017.tar.gz -C gilani\r\n",
        "!rm gilani-2017.tar.gz\r\n",
        "print(\"Gilani-17 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/political-bots-2019/political-bots-2019.tar.gz -q\r\n",
        "!mkdir political\r\n",
        "!tar xzf political-bots-2019.tar.gz -C political\r\n",
        "!rm political-bots-2019.tar.gz\r\n",
        "print(\"Political-bots downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/botometer-feedback-2019/botometer-feedback-2019.tar.gz -q\r\n",
        "!mkdir botometer\r\n",
        "!tar xzf botometer-feedback-2019.tar.gz -C botometer\r\n",
        "!rm botometer-feedback-2019.tar.gz\r\n",
        "print(\"Botometer Feedback downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/vendor-purchased-2019/vendor-purchased-2019.tar.gz -q\r\n",
        "!mkdir vendor\r\n",
        "!tar xzf vendor-purchased-2019.tar.gz -C vendor\r\n",
        "!rm vendor-purchased-2019.tar.gz\r\n",
        "print(\"Vendor Purchased 2019 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/celebrity-2019/celebrity-2019.tar.gz -q\r\n",
        "!mkdir celebrity\r\n",
        "!tar xzf celebrity-2019.tar.gz -C celebrity\r\n",
        "!rm celebrity-2019.tar.gz\r\n",
        "print(\"Celebrity-2019 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/pronbots-2019/pronbots-2019.tar.gz -q\r\n",
        "!mkdir pronbots\r\n",
        "!tar xvzf pronbots-2019.tar.gz -C pronbots\r\n",
        "!rm pronbots-2019.tar.gz\r\n",
        "print(\"Pronbots-2019 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/caverlee-2011/caverlee-2011.zip -q\r\n",
        "!mkdir caverlee\r\n",
        "!unzip -q /content/caverlee-2011.zip -d caverlee \r\n",
        "!rm caverlee-2011.zip\r\n",
        "print(\"Caverlee-11 downloaded and extracted\")\r\n",
        "\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/varol-2017/varol-2017.dat.gz -q\r\n",
        "!mkdir varol\r\n",
        "!gunzip -dc < varol-2017.dat.gz > varol/varol-2017.dat\r\n",
        "!rm varol-2017.dat.gz\r\n",
        "print(\"Varol-17 downloaded and extracted\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VydXxBKb17Ci",
        "outputId": "025d9d02-bd1f-4a38-d983-88e044aaed6c"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YxQQv0UTfHBq"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import pickle as pkl\n",
        "from tqdm import tqdm\n",
        "import tweepy, time"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JqlE9tqsp8aH"
      },
      "source": [
        "# assign the values accordingly \n",
        "consumer_key = 'afSquKSqkrs8eqrNr8aJ2gZTo'\n",
        "consumer_secret = '0JEyc80fzjo9BT6K99wfaJGZQJWabWgIVyo1vnNNju8Cmlz8R8'\n",
        "access_token= '983655149049528321-gaHXrE4TYGjRNGFbuuhBWT6uoeDqP85'\n",
        "access_token_secret = 'tupkn43qGuGoVbIr4SkxLbOitClYJpHRB7guUGkWKeFHV'\n",
        "  \n",
        "# authorization of consumer key and consumer secret \n",
        "auth = tweepy.OAuthHandler(consumer_key, consumer_secret) \n",
        "  \n",
        "# set access to user's access key and access secret  \n",
        "auth.set_access_token(access_token, access_token_secret) \n",
        "  \n",
        "# calling the api  \n",
        "api = tweepy.API(auth) "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UNoC2e0PXR41"
      },
      "source": [
        "# Pronbot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qpn0MbWkXVQo",
        "outputId": "d0d4f27b-597c-4add-8bd9-dfcf572d9381"
      },
      "source": [
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/pronbots-2019/pronbots-2019.tar.gz -q\r\n",
        "!mkdir pronbots\r\n",
        "!tar xvzf pronbots-2019.tar.gz -C pronbots\r\n",
        "!rm pronbots-2019.tar.gz\r\n",
        "print(\"Pronbots-2019 downloaded and extracted\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "pronbots-2019.tsv\n",
            "pronbots-2019_tweets.json\n",
            "Pronbots-2019 downloaded and extracted\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WSmPxVGFfM7E"
      },
      "source": [
        "data = pd.read_csv(\"/content/pronbots/pronbots-2019.tsv\",sep = '\\t',header = None)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "_irZ7rv1qxW0",
        "outputId": "e3af4b3d-ad23-4e37-80ed-ba0097803cc9"
      },
      "source": [
        "data.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "    }\n",
              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
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              "      <th>0</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1111770704</td>\n",
              "      <td>bot</td>\n",
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              "      <th>1</th>\n",
              "      <td>422386111</td>\n",
              "      <td>bot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>94059036</td>\n",
              "      <td>bot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>419403479</td>\n",
              "      <td>bot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3141909615</td>\n",
              "      <td>bot</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            0    1\n",
              "0  1111770704  bot\n",
              "1   422386111  bot\n",
              "2    94059036  bot\n",
              "3   419403479  bot\n",
              "4  3141909615  bot"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jbaNsN9-qzfo",
        "outputId": "d84068cb-951d-4039-e11a-ab4ea7a26912"
      },
      "source": [
        "data[1].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bot    21964\n",
              "Name: 1, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ahqQm4la0kcT"
      },
      "source": [
        "bot_ids = data[0].values"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bCIyGsaheVMs",
        "outputId": "c5a7bcbe-551d-4fda-82f9-94bcaf6f6afa"
      },
      "source": [
        "failed = []\r\n",
        "done = []\r\n",
        "for x in tqdm(bot_ids):\r\n",
        "  try:\r\n",
        "    done.append(api.user_timeline(x,count = 500))\r\n",
        "  except tweepy.RateLimitError:\r\n",
        "    print('\\nRate Exceeded')\r\n",
        "    time.sleep(15*60)\r\n",
        "    print(\"\\nStarted\")\r\n",
        "  except Exception as e:\r\n",
        "    failed.append(x)\r\n",
        "  time.sleep(1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 2000/2000 [38:35<00:00,  1.16s/it]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "imw8XwcYPZKQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "39610281-593c-4b2c-df61-79747c09a0c0"
      },
      "source": [
        "len(done), len(failed)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(137, 1863)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yg2rE9RNUbSg"
      },
      "source": [
        "with open(\"bot-2000#7.pkl\", 'wb') as f:\r\n",
        "  pkl.dump(done,f)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jh2EE3XfUe09"
      },
      "source": [
        "!mv \"/content/bot-2000#7.pkl\" \"/content/drive/MyDrive/Pronbots\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sR5GiyzMXlXP"
      },
      "source": [
        "# Varol\r\n",
        "0 = Human\r\n",
        "1 = Bot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fdcs3zR5excM"
      },
      "source": [
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/varol-2017/varol-2017.dat.gz -q\r\n",
        "!mkdir varol\r\n",
        "!gunzip -dc < varol-2017.dat.gz > varol/varol-2017.dat\r\n",
        "!rm varol-2017.dat.gz\r\n",
        "print(\"Varol-17 downloaded and extracted\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9cRUyEeIL1JP"
      },
      "source": [
        "data = pd.read_csv(\"/content/varol/varol-2017.dat\",sep = '\\t',header=None)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "3wPCzj-sY5Lf",
        "outputId": "e40121d0-2305-4b39-900a-f902403a9ffc"
      },
      "source": [
        "data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <td>1.0</td>\n",
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              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2573 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  0    1\n",
              "0        3098421349  1.0\n",
              "1         554067867  1.0\n",
              "2         256597786  1.0\n",
              "3         103351486  1.0\n",
              "4         199973582  1.0\n",
              "...             ...  ...\n",
              "2568  160302029   0  NaN\n",
              "2569  382361714   0  NaN\n",
              "2570  3528645202  0  NaN\n",
              "2571  3394060059  0  NaN\n",
              "2572  1686033637  0  NaN\n",
              "\n",
              "[2573 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ufYpQmByZL7z"
      },
      "source": [
        "ids0 = data[data[1].isna()][0].copy()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "utX9FH8uaky6"
      },
      "source": [
        "data.loc[ids0.index,0] = ids0.apply(lambda x: x.split()[0])\r\n",
        "data.loc[ids0.index,1] = ids0.apply(lambda x: x.split()[1])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "ElPZ7A33bPbW",
        "outputId": "568425e4-bf04-47bc-a217-8e3a8d4b31dc"
      },
      "source": [
        "data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<p>2573 rows × 2 columns</p>\n",
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              "               0  1\n",
              "0     3098421349  1\n",
              "1      554067867  1\n",
              "2      256597786  1\n",
              "3      103351486  1\n",
              "4      199973582  1\n",
              "...          ... ..\n",
              "2568   160302029  0\n",
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          "metadata": {
            "tags": []
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          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-2rHVUdQbfHN"
      },
      "source": [
        "bot_ids = data[0][data[1]==1].values"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "miiS_eIZbaNp",
        "outputId": "5a10998c-39d7-4c7f-81eb-ab73fdf942e6"
      },
      "source": [
        "failed = []\r\n",
        "done = []\r\n",
        "for x in tqdm(bot_ids):\r\n",
        "  try:\r\n",
        "    done.append(api.user_timeline(x,count = 500))\r\n",
        "  except tweepy.RateLimitError:\r\n",
        "    print('\\nRate Exceeded')\r\n",
        "    time.sleep(15*60)\r\n",
        "    print(\"\\nStarted\")\r\n",
        "  except Exception as e:\r\n",
        "    failed.append(x)\r\n",
        "  time.sleep(1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 826/826 [19:19<00:00,  1.40s/it]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ju88gyUtdxAg"
      },
      "source": [
        "with open(\"bot-826.pkl\", 'wb') as f:\r\n",
        "  pkl.dump(done,f)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QbIoSc1AdxAh"
      },
      "source": [
        "!mv \"/content/bot-826.pkl\" \"/content/drive/MyDrive/Varol\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yy8zpb0odayw",
        "outputId": "ac0839f7-d4da-48fa-a0ab-a35cb8ef231f"
      },
      "source": [
        "len(done),len(failed)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(652, 174)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d2vQE65zjnnn"
      },
      "source": [
        "# Cresci 17"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NFjOx1-tHHCI",
        "outputId": "a68a501d-f302-40ec-fe44-1f0601729951"
      },
      "source": [
        "#@title Download\r\n",
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/cresci-2017/cresci-2017.csv.zip -q\r\n",
        "!unzip -q cresci-2017.csv.zip\r\n",
        "!mkdir cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/crowdflower_results.csv.zip -d cresci-17 \r\n",
        "!unzip -q /content/datasets_full.csv/fake_followers.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/genuine_accounts.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/social_spambots_1.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/social_spambots_2.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/social_spambots_3.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/traditional_spambots_1.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/traditional_spambots_2.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/traditional_spambots_3.csv.zip -d cresci-17\r\n",
        "!unzip -q /content/datasets_full.csv/traditional_spambots_4.csv.zip -d cresci-17\r\n",
        "!rm cresci-2017.csv.zip\r\n",
        "!rm datasets_full.csv -r\r\n",
        "!rm /content/cresci-17/__MACOSX -r\r\n",
        "print(\"Cresci-17 downloaded and extracted\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cresci-17 downloaded and extracted\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Iqp1Y8nXo64N"
      },
      "source": [
        "## crowdflower"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0_2b8erTi106"
      },
      "source": [
        "crowdflower = pd.read_csv('/content/cresci-17/crowdflower_results.csv/crowdflower_results_detailed.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0XnR_czqkWEa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "9a9247f4-bedf-4d02-fa5b-0fafe8ff0554"
      },
      "source": [
        "crowdflower"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>crowdflower_id</th>\n",
              "      <th>channel</th>\n",
              "      <th>trust</th>\n",
              "      <th>contributor_id</th>\n",
              "      <th>class</th>\n",
              "      <th>ground_truth_class</th>\n",
              "      <th>comment</th>\n",
              "      <th>account_type</th>\n",
              "      <th>dataset</th>\n",
              "      <th>twitter_user_id</th>\n",
              "      <th>twitter_screen_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>911068393</td>\n",
              "      <td>neodev</td>\n",
              "      <td>0.8800</td>\n",
              "      <td>11057995</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>678033</td>\n",
              "      <td>heathr</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>911068393</td>\n",
              "      <td>neodev</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>11066121</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>678033</td>\n",
              "      <td>heathr</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>911068393</td>\n",
              "      <td>neodev</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>28375885</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>678033</td>\n",
              "      <td>heathr</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>911068394</td>\n",
              "      <td>clixsense</td>\n",
              "      <td>0.9000</td>\n",
              "      <td>31001914</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>806975</td>\n",
              "      <td>mrinaldesai</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>911068394</td>\n",
              "      <td>elite</td>\n",
              "      <td>0.8750</td>\n",
              "      <td>31410280</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>806975</td>\n",
              "      <td>mrinaldesai</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13279</th>\n",
              "      <td>911072847</td>\n",
              "      <td>elite</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>33102233</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>3308945967</td>\n",
              "      <td>PrizeLotto52491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13280</th>\n",
              "      <td>911072847</td>\n",
              "      <td>clixsense</td>\n",
              "      <td>0.8571</td>\n",
              "      <td>36517353</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>3308945967</td>\n",
              "      <td>PrizeLotto52491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13281</th>\n",
              "      <td>911072848</td>\n",
              "      <td>instagc</td>\n",
              "      <td>0.9600</td>\n",
              "      <td>21269635</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>4331279781</td>\n",
              "      <td>MillionRentals</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13282</th>\n",
              "      <td>911072848</td>\n",
              "      <td>elite</td>\n",
              "      <td>0.8800</td>\n",
              "      <td>34692791</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>4331279781</td>\n",
              "      <td>MillionRentals</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13283</th>\n",
              "      <td>911072848</td>\n",
              "      <td>clixsense</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>34965909</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>4331279781</td>\n",
              "      <td>MillionRentals</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>13284 rows × 11 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       crowdflower_id    channel  ...  twitter_user_id  twitter_screen_name\n",
              "0           911068393     neodev  ...           678033               heathr\n",
              "1           911068393     neodev  ...           678033               heathr\n",
              "2           911068393     neodev  ...           678033               heathr\n",
              "3           911068394  clixsense  ...           806975          mrinaldesai\n",
              "4           911068394      elite  ...           806975          mrinaldesai\n",
              "...               ...        ...  ...              ...                  ...\n",
              "13279       911072847      elite  ...       3308945967      PrizeLotto52491\n",
              "13280       911072847  clixsense  ...       3308945967      PrizeLotto52491\n",
              "13281       911072848    instagc  ...       4331279781       MillionRentals\n",
              "13282       911072848      elite  ...       4331279781       MillionRentals\n",
              "13283       911072848  clixsense  ...       4331279781       MillionRentals\n",
              "\n",
              "[13284 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N11UH_PvHgTr"
      },
      "source": [
        "data = crowdflower.drop_duplicates(['twitter_user_id'],ignore_index=True).copy()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "GvwxdfoRH1M-",
        "outputId": "6016e0ea-8c03-457c-fd23-f1b6680cd528"
      },
      "source": [
        "data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>crowdflower_id</th>\n",
              "      <th>channel</th>\n",
              "      <th>trust</th>\n",
              "      <th>contributor_id</th>\n",
              "      <th>class</th>\n",
              "      <th>ground_truth_class</th>\n",
              "      <th>comment</th>\n",
              "      <th>account_type</th>\n",
              "      <th>dataset</th>\n",
              "      <th>twitter_user_id</th>\n",
              "      <th>twitter_screen_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>911068393</td>\n",
              "      <td>neodev</td>\n",
              "      <td>0.8800</td>\n",
              "      <td>11057995</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>678033</td>\n",
              "      <td>heathr</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>911068394</td>\n",
              "      <td>clixsense</td>\n",
              "      <td>0.9000</td>\n",
              "      <td>31001914</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>806975</td>\n",
              "      <td>mrinaldesai</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>911068395</td>\n",
              "      <td>clixsense</td>\n",
              "      <td>0.8400</td>\n",
              "      <td>30381282</td>\n",
              "      <td>spambot</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>887281</td>\n",
              "      <td>Payo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>911068396</td>\n",
              "      <td>neodev</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>28375885</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>1382561</td>\n",
              "      <td>jojoko</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>911068397</td>\n",
              "      <td>neodev</td>\n",
              "      <td>0.9200</td>\n",
              "      <td>11066121</td>\n",
              "      <td>genuine</td>\n",
              "      <td>genuine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>genuine accounts</td>\n",
              "      <td>1813221</td>\n",
              "      <td>Poormojo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4423</th>\n",
              "      <td>911072844</td>\n",
              "      <td>neodev</td>\n",
              "      <td>0.8000</td>\n",
              "      <td>25756390</td>\n",
              "      <td>genuine</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>3305460917</td>\n",
              "      <td>CrazyPrize75229</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4424</th>\n",
              "      <td>911072845</td>\n",
              "      <td>clixsense</td>\n",
              "      <td>0.9000</td>\n",
              "      <td>31027621</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>3305488912</td>\n",
              "      <td>PrizeTrain55275</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4425</th>\n",
              "      <td>911072846</td>\n",
              "      <td>clixsense</td>\n",
              "      <td>0.9375</td>\n",
              "      <td>7690577</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>3307816547</td>\n",
              "      <td>LuckyPick38538</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4426</th>\n",
              "      <td>911072847</td>\n",
              "      <td>tremorgames</td>\n",
              "      <td>0.9600</td>\n",
              "      <td>19953423</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>3308945967</td>\n",
              "      <td>PrizeLotto52491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4427</th>\n",
              "      <td>911072848</td>\n",
              "      <td>instagc</td>\n",
              "      <td>0.9600</td>\n",
              "      <td>21269635</td>\n",
              "      <td>spambot</td>\n",
              "      <td>spambot</td>\n",
              "      <td>NaN</td>\n",
              "      <td>traditional spambots</td>\n",
              "      <td>traditional spambots #3</td>\n",
              "      <td>4331279781</td>\n",
              "      <td>MillionRentals</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4428 rows × 11 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      crowdflower_id      channel  ...  twitter_user_id  twitter_screen_name\n",
              "0          911068393       neodev  ...           678033               heathr\n",
              "1          911068394    clixsense  ...           806975          mrinaldesai\n",
              "2          911068395    clixsense  ...           887281                 Payo\n",
              "3          911068396       neodev  ...          1382561               jojoko\n",
              "4          911068397       neodev  ...          1813221             Poormojo\n",
              "...              ...          ...  ...              ...                  ...\n",
              "4423       911072844       neodev  ...       3305460917      CrazyPrize75229\n",
              "4424       911072845    clixsense  ...       3305488912      PrizeTrain55275\n",
              "4425       911072846    clixsense  ...       3307816547       LuckyPick38538\n",
              "4426       911072847  tremorgames  ...       3308945967      PrizeLotto52491\n",
              "4427       911072848      instagc  ...       4331279781       MillionRentals\n",
              "\n",
              "[4428 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zq_NIiURjeRl"
      },
      "source": [
        "data = data.loc[:,['twitter_user_id','ground_truth_class']].copy()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T7gworAujkGl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "47ecc878-2e33-4141-e0f9-fb92256d8c6d"
      },
      "source": [
        "data['ground_truth_class'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "spambot    2928\n",
              "genuine    1500\n",
              "Name: ground_truth_class, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wg7_bWtGosue"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GZWaaJrIJaD8"
      },
      "source": [
        "bot_ids = data['twitter_user_id'][data['ground_truth_class']=='spambot'].values"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IePJFOCcJx-V",
        "outputId": "5e0308aa-e2bf-40d7-f58b-794dd0b6b94a"
      },
      "source": [
        "failed = []\r\n",
        "done = []\r\n",
        "for x in tqdm(bot_ids[:1464]):\r\n",
        "  try:\r\n",
        "    done.append(api.user_timeline(x,count = 500))\r\n",
        "  except tweepy.RateLimitError:\r\n",
        "    print('\\nRate Exceeded')\r\n",
        "    time.sleep(15*60)\r\n",
        "    print(\"\\nStarted\")\r\n",
        "  except Exception as e:\r\n",
        "    failed.append(x)\r\n",
        "\r\n",
        "with open(\"/content/drive/MyDrive/Cresci17/Crowdflower/bot-1464#1.pkl\", 'wb') as f:\r\n",
        "  pkl.dump(done,f)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 61%|██████▏   | 900/1464 [04:10<01:49,  5.13it/s]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Rate Exceeded\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            " 62%|██████▏   | 902/1464 [19:10<29:32:03, 189.19s/it]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Started\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 1464/1464 [22:43<00:00,  1.07it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MhcJs-jmPs76",
        "outputId": "3705563e-de7e-44de-d8d3-1b64f51a9786"
      },
      "source": [
        "failed = []\r\n",
        "done = []\r\n",
        "for x in tqdm(bot_ids[1464:]):\r\n",
        "  try:\r\n",
        "    done.append(api.user_timeline(x,count = 500))\r\n",
        "  except tweepy.RateLimitError:\r\n",
        "    print('\\nRate Exceeded')\r\n",
        "    time.sleep(15*60)\r\n",
        "    print(\"\\nStarted\")\r\n",
        "  except Exception as e:\r\n",
        "    failed.append(x)\r\n",
        "\r\n",
        "with open(\"/content/drive/MyDrive/Cresci17/Crowdflower/bot-1464#2.pkl\", 'wb') as f:\r\n",
        "  pkl.dump(done,f)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 61%|██████▏   | 900/1464 [05:00<03:20,  2.81it/s]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Rate Exceeded\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "\r 62%|██████▏   | 901/1464 [20:00<42:16:26, 270.31s/it]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Started\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 1464/1464 [23:07<00:00,  1.05it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IBMc0MgSP44h",
        "outputId": "60573494-34ab-48dd-b402-d801382cbb7c"
      },
      "source": [
        "failed = []\r\n",
        "done = []\r\n",
        "for x in tqdm(human_ids):\r\n",
        "  try:\r\n",
        "    done.append(api.user_timeline(x,count = 500))\r\n",
        "  except tweepy.RateLimitError:\r\n",
        "    print('\\nRate Exceeded')\r\n",
        "    time.sleep(15*60)\r\n",
        "    print(\"\\nStarted\")\r\n",
        "  except Exception as e:\r\n",
        "    failed.append(x)\r\n",
        "\r\n",
        "with open(\"/content/drive/MyDrive/Cresci17/Crowdflower/human-1500.pkl\", 'wb') as f:\r\n",
        "  pkl.dump(done,f)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 60%|██████    | 900/1500 [06:09<03:32,  2.82it/s]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Rate Exceeded\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            " 60%|██████    | 902/1500 [21:10<31:26:20, 189.27s/it]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Started\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 1500/1500 [24:56<00:00,  1.00it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PAOsuibso8sq"
      },
      "source": [
        "## Fake_followers"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jQWH0GS8o_Iu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1a3bf741-02fb-45cf-98c8-6fda1121a5da"
      },
      "source": [
        "ff_tweets = pd.read_csv('/content/cresci-17/fake_followers.csv/tweets.csv')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (8,11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bZCHe1H5SbwO"
      },
      "source": [
        "ff_tweets['user_mentions'] = ff_tweets.text.str.findall(r'(?<![@\\w])@(\\w{1,25})')\r\n",
        "ff_tweets['hashtags'] = ff_tweets.text.str.findall(r'(?<![#\\w])#(\\w{1,25})')\r\n",
        "ff_tweets['symbols'] = ff_tweets.text.str.findall(r'(?<![$\\w])$(\\w{1,6})')\r\n",
        "ff_tweets['urls'] = ff_tweets.text.str.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LuoO-R92e9Ti"
      },
      "source": [
        "ff_tweets.replace([],np.NaN,inplace=True)\r\n",
        "ff_tweets = ff_tweets[ff_tweets.text.notna()]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 779
        },
        "id": "k1iUrC9Xghn1",
        "outputId": "a0e295ba-197a-45f9-bc34-73cfc85ff2af"
      },
      "source": [
        "ff_tweets"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>created_at</th>\n",
              "      <th>id</th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>user_id</th>\n",
              "      <th>truncated</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>retweeted_status_id</th>\n",
              "      <th>geo</th>\n",
              "      <th>place</th>\n",
              "      <th>contributors</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>reply_count</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>favorited</th>\n",
              "      <th>retweeted</th>\n",
              "      <th>possibly_sensitive</th>\n",
              "      <th>num_hashtags</th>\n",
              "      <th>num_urls</th>\n",
              "      <th>num_mentions</th>\n",
              "      <th>timestamp</th>\n",
              "      <th>user_mentions</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>symbols</th>\n",
              "      <th>urls</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Sat Apr 20 13:19:19 +0000 2013</td>\n",
              "      <td>325599560959393793</td>\n",
              "      <td>https://t.co/iocNIgHxXH. @LovesOfaLDNgirl  her...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-20 15:19:19</td>\n",
              "      <td>[LovesOfaLDNgirl]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[https://t.co/iocNIgHxXH.]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Tue Apr 16 19:31:39 +0000 2013</td>\n",
              "      <td>324243711443730434</td>\n",
              "      <td>Well done hubby @Allan_76 http://t.co/AaeTwLucUG</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-16 21:31:39</td>\n",
              "      <td>[Allan_76]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/AaeTwLucUG]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Tue Apr 16 17:38:06 +0000 2013</td>\n",
              "      <td>324215137055670274</td>\n",
              "      <td>Two years with my lovely husband - thank you f...</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-16 19:38:06</td>\n",
              "      <td>[Allan_76]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/R1x2vaWXEv]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Sun Apr 14 15:33:00 +0000 2013</td>\n",
              "      <td>323458877003792386</td>\n",
              "      <td>Sorry bunny about your ears but I was hungry.....</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2013-04-14 17:33:00</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/9xyGLpgiSB]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Fri Apr 12 15:37:59 +0000 2013</td>\n",
              "      <td>322735354148945920</td>\n",
              "      <td>Small man, big drink @Allan_76 http://t.co/4NU...</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-12 17:37:59</td>\n",
              "      <td>[Allan_76]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/4NUl8UD9IU]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196022</th>\n",
              "      <td>Mon May 06 04:33:01 +0000 2013</td>\n",
              "      <td>331265321375780864</td>\n",
              "      <td>Mini bonfire with my love :)</td>\n",
              "      <td>web</td>\n",
              "      <td>1391497074</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2013-05-06 06:33:01</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196023</th>\n",
              "      <td>Fri May 17 00:48:14 +0000 2013</td>\n",
              "      <td>335195017457041408</td>\n",
              "      <td>Já que você adora criticar, vai lá e faz melhor.</td>\n",
              "      <td>web</td>\n",
              "      <td>1391622127</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2013-05-17 02:48:14</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196024</th>\n",
              "      <td>Fri May 03 13:38:10 +0000 2013</td>\n",
              "      <td>330315349197197315</td>\n",
              "      <td>&amp;lt;-- So how many of you have seen me in the ...</td>\n",
              "      <td>web</td>\n",
              "      <td>1391622127</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2013-05-03 15:38:10</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196025</th>\n",
              "      <td>Fri May 17 01:08:54 +0000 2013</td>\n",
              "      <td>335200218071052288</td>\n",
              "      <td>Where the weed</td>\n",
              "      <td>web</td>\n",
              "      <td>1391832212</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2013-05-17 03:08:54</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196026</th>\n",
              "      <td>Fri May 03 13:45:09 +0000 2013</td>\n",
              "      <td>330317103737487362</td>\n",
              "      <td>Jst waken up stayd up til 6 talkn 2 tha 1 n on...</td>\n",
              "      <td>web</td>\n",
              "      <td>1391832212</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2013-05-03 15:45:09</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>196007 rows × 27 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                            created_at  ...                        urls\n",
              "0       Sat Apr 20 13:19:19 +0000 2013  ...  [https://t.co/iocNIgHxXH.]\n",
              "1       Tue Apr 16 19:31:39 +0000 2013  ...    [http://t.co/AaeTwLucUG]\n",
              "2       Tue Apr 16 17:38:06 +0000 2013  ...    [http://t.co/R1x2vaWXEv]\n",
              "3       Sun Apr 14 15:33:00 +0000 2013  ...    [http://t.co/9xyGLpgiSB]\n",
              "4       Fri Apr 12 15:37:59 +0000 2013  ...    [http://t.co/4NUl8UD9IU]\n",
              "...                                ...  ...                         ...\n",
              "196022  Mon May 06 04:33:01 +0000 2013  ...                          []\n",
              "196023  Fri May 17 00:48:14 +0000 2013  ...                          []\n",
              "196024  Fri May 03 13:38:10 +0000 2013  ...                          []\n",
              "196025  Fri May 17 01:08:54 +0000 2013  ...                          []\n",
              "196026  Fri May 03 13:45:09 +0000 2013  ...                          []\n",
              "\n",
              "[196007 rows x 27 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I48j-o_ipgaI"
      },
      "source": [
        "```\r\n",
        "Note:\r\n",
        "extract entities,\r\n",
        "Do further Analysis\r\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bTrFPkYKhdnw"
      },
      "source": [
        "fake_ff = pd.read_csv('/content/cresci-17/fake_followers.csv/users.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lPAlRhb1f3eC"
      },
      "source": [
        "Z = [[fake_ff[fake_ff['id']==int(u)].to_dict(),t] for u,t in ff_tweets.groupby('user_id')]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EsCUjpn9hVaS",
        "outputId": "22de6a18-5398-4586-809c-d10ed9ff3733"
      },
      "source": [
        "Z[0][0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'contributors_enabled': {11: nan},\n",
              " 'created_at': {11: 'Fri Dec 07 13:57:04 +0000 2007'},\n",
              " 'default_profile': {11: nan},\n",
              " 'default_profile_image': {11: nan},\n",
              " 'description': {11: nan},\n",
              " 'favourites_count': {11: 7},\n",
              " 'follow_request_sent': {11: nan},\n",
              " 'followers_count': {11: 171},\n",
              " 'following': {11: nan},\n",
              " 'friends_count': {11: 1398},\n",
              " 'geo_enabled': {11: nan},\n",
              " 'id': {11: 10935572},\n",
              " 'is_translator': {11: nan},\n",
              " 'lang': {11: 'en'},\n",
              " 'listed_count': {11: 1},\n",
              " 'location': {11: nan},\n",
              " 'name': {11: 'clareanderson'},\n",
              " 'notifications': {11: nan},\n",
              " 'profile_background_color': {11: '642D8B'},\n",
              " 'profile_background_image_url': {11: 'http://a0.twimg.com/profile_background_images/117515795/x5f056d8ab627448fb4ffacf4cc0d77c.jpg'},\n",
              " 'profile_background_image_url_https': {11: 'https://si0.twimg.com/profile_background_images/117515795/x5f056d8ab627448fb4ffacf4cc0d77c.jpg'},\n",
              " 'profile_background_tile': {11: nan},\n",
              " 'profile_banner_url': {11: 'https://pbs.twimg.com/profile_banners/10935572/1366464154'},\n",
              " 'profile_image_url': {11: 'http://a0.twimg.com/profile_images/3392556920/b1e1bfa75ec9da08ea7734166d0acc80_normal.jpeg'},\n",
              " 'profile_image_url_https': {11: 'https://si0.twimg.com/profile_images/3392556920/b1e1bfa75ec9da08ea7734166d0acc80_normal.jpeg'},\n",
              " 'profile_link_color': {11: 'FF0000'},\n",
              " 'profile_sidebar_border_color': {11: '65B0DA'},\n",
              " 'profile_sidebar_fill_color': {11: '7AC3EE'},\n",
              " 'profile_text_color': {11: '3D1957'},\n",
              " 'profile_use_background_image': {11: 1.0},\n",
              " 'protected': {11: nan},\n",
              " 'screen_name': {11: 'clarebear4'},\n",
              " 'statuses_count': {11: 557},\n",
              " 'time_zone': {11: 'London'},\n",
              " 'updated': {11: '2013-06-12 18:38:35'},\n",
              " 'url': {11: nan},\n",
              " 'utc_offset': {11: 0.0},\n",
              " 'verified': {11: nan}}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 779
        },
        "id": "BZxoyIM8hP43",
        "outputId": "920acdd0-ba5d-4a9d-9e16-1dab091f04dd"
      },
      "source": [
        "Z[0][1]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>created_at</th>\n",
              "      <th>id</th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>user_id</th>\n",
              "      <th>truncated</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>retweeted_status_id</th>\n",
              "      <th>geo</th>\n",
              "      <th>place</th>\n",
              "      <th>contributors</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>reply_count</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>favorited</th>\n",
              "      <th>retweeted</th>\n",
              "      <th>possibly_sensitive</th>\n",
              "      <th>num_hashtags</th>\n",
              "      <th>num_urls</th>\n",
              "      <th>num_mentions</th>\n",
              "      <th>timestamp</th>\n",
              "      <th>user_mentions</th>\n",
              "      <th>hashtags</th>\n",
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              "      <th>urls</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Sat Apr 20 13:19:19 +0000 2013</td>\n",
              "      <td>325599560959393793</td>\n",
              "      <td>https://t.co/iocNIgHxXH. @LovesOfaLDNgirl  her...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-20 15:19:19</td>\n",
              "      <td>[LovesOfaLDNgirl]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[https://t.co/iocNIgHxXH.]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Tue Apr 16 19:31:39 +0000 2013</td>\n",
              "      <td>324243711443730434</td>\n",
              "      <td>Well done hubby @Allan_76 http://t.co/AaeTwLucUG</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-16 21:31:39</td>\n",
              "      <td>[Allan_76]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/AaeTwLucUG]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Tue Apr 16 17:38:06 +0000 2013</td>\n",
              "      <td>324215137055670274</td>\n",
              "      <td>Two years with my lovely husband - thank you f...</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-16 19:38:06</td>\n",
              "      <td>[Allan_76]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/R1x2vaWXEv]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Sun Apr 14 15:33:00 +0000 2013</td>\n",
              "      <td>323458877003792386</td>\n",
              "      <td>Sorry bunny about your ears but I was hungry.....</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>2013-04-14 17:33:00</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/9xyGLpgiSB]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Fri Apr 12 15:37:59 +0000 2013</td>\n",
              "      <td>322735354148945920</td>\n",
              "      <td>Small man, big drink @Allan_76 http://t.co/4NU...</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
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              "      <td>1</td>\n",
              "      <td>2013-04-12 17:37:59</td>\n",
              "      <td>[Allan_76]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/4NUl8UD9IU]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>551</th>\n",
              "      <td>Fri Feb 06 15:45:00 +0000 2009</td>\n",
              "      <td>1183483486</td>\n",
              "      <td>is looking for things to do on valentines :0)</td>\n",
              "      <td>web</td>\n",
              "      <td>10935572</td>\n",
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              "      <td>2009-02-06 16:45:00</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>552</th>\n",
              "      <td>Fri Feb 06 14:06:29 +0000 2009</td>\n",
              "      <td>1183192955</td>\n",
              "      <td>I am at my mum's after driving for 5 hours in ...</td>\n",
              "      <td>web</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
              "      <td>2009-02-06 15:06:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>553</th>\n",
              "      <td>Fri Dec 07 13:57:21 +0000 2007</td>\n",
              "      <td>478266482</td>\n",
              "      <td>I am at work</td>\n",
              "      <td>web</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2007-12-07 14:57:21</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>554</th>\n",
              "      <td>Tue May 07 16:35:04 +0000 2013</td>\n",
              "      <td>331809415537766401</td>\n",
              "      <td>Lovely husband, love u and miss u too! Safe fl...</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-05-07 18:35:04</td>\n",
              "      <td>[Allan_76]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/lmbvGNH0un]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>555</th>\n",
              "      <td>Fri Apr 26 20:03:44 +0000 2013</td>\n",
              "      <td>327875664260771840</td>\n",
              "      <td>Hehe just found this funny pic from Halloween ...</td>\n",
              "      <td>&lt;a href=\"http://instagram.com\" rel=\"nofollow\"&gt;...</td>\n",
              "      <td>10935572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-04-26 22:03:44</td>\n",
              "      <td>[littlewhitepaws]</td>\n",
              "      <td>[fun]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/qdoXS12Z5Z]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>556 rows × 27 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                         created_at  ...                        urls\n",
              "0    Sat Apr 20 13:19:19 +0000 2013  ...  [https://t.co/iocNIgHxXH.]\n",
              "1    Tue Apr 16 19:31:39 +0000 2013  ...    [http://t.co/AaeTwLucUG]\n",
              "2    Tue Apr 16 17:38:06 +0000 2013  ...    [http://t.co/R1x2vaWXEv]\n",
              "3    Sun Apr 14 15:33:00 +0000 2013  ...    [http://t.co/9xyGLpgiSB]\n",
              "4    Fri Apr 12 15:37:59 +0000 2013  ...    [http://t.co/4NUl8UD9IU]\n",
              "..                              ...  ...                         ...\n",
              "551  Fri Feb 06 15:45:00 +0000 2009  ...                          []\n",
              "552  Fri Feb 06 14:06:29 +0000 2009  ...                          []\n",
              "553  Fri Dec 07 13:57:21 +0000 2007  ...                          []\n",
              "554  Tue May 07 16:35:04 +0000 2013  ...    [http://t.co/lmbvGNH0un]\n",
              "555  Fri Apr 26 20:03:44 +0000 2013  ...    [http://t.co/qdoXS12Z5Z]\n",
              "\n",
              "[556 rows x 27 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B1aCIvAXhpdj",
        "outputId": "7329393e-eb49-4452-e861-b7b57d6da2eb"
      },
      "source": [
        "fake_ff.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3351, 38)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lFWAO0ZypIzu"
      },
      "source": [
        "with open('/content/drive/MyDrive/Cresci17/Fake_ff/fake_followers-3351.pkl','wb') as f:\r\n",
        "  pkl.dump(Z,f)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5rpm4gJviPIL"
      },
      "source": [
        "## Genuine Accounts"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ix6TL5EjiPIN",
        "outputId": "31239b42-64fa-4f0b-85ad-ffeb5da694dc"
      },
      "source": [
        "genuine_tweets = pd.read_csv('/content/cresci-17/genuine_accounts.csv/tweets.csv')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (0) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6UDWRLEjiPIO"
      },
      "source": [
        "genuine_tweets['user_mentions'] = genuine_tweets.text.str.findall(r'(?<![@\\w])@(\\w{1,25})')\r\n",
        "genuine_tweets['hashtags'] = genuine_tweets.text.str.findall(r'(?<![#\\w])#(\\w{1,25})')\r\n",
        "genuine_tweets['symbols'] = genuine_tweets.text.str.findall(r'(?<![$\\w])$(\\w{1,6})')\r\n",
        "genuine_tweets['urls'] = genuine_tweets.text.str.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uWyBl8Q4iPIO"
      },
      "source": [
        "genuine_tweets.replace([],np.NaN,inplace=True)\r\n",
        "genuine_tweets = genuine_tweets[genuine_tweets.text.notna()]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "UggwyOTJiPIP",
        "outputId": "96e6f00b-2bbb-456b-f95e-b7573e1f7ded"
      },
      "source": [
        "genuine_tweets"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>user_id</th>\n",
              "      <th>truncated</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>retweeted_status_id</th>\n",
              "      <th>geo</th>\n",
              "      <th>place</th>\n",
              "      <th>contributors</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>reply_count</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>favorited</th>\n",
              "      <th>retweeted</th>\n",
              "      <th>possibly_sensitive</th>\n",
              "      <th>num_hashtags</th>\n",
              "      <th>num_urls</th>\n",
              "      <th>num_mentions</th>\n",
              "      <th>created_at</th>\n",
              "      <th>timestamp</th>\n",
              "      <th>crawled_at</th>\n",
              "      <th>updated</th>\n",
              "      <th>user_mentions</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>symbols</th>\n",
              "      <th>urls</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>593932392663912449</td>\n",
              "      <td>RT @morningJewshow: Speaking about Jews and co...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.939322e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri May 01 00:18:11 +0000 2015</td>\n",
              "      <td>2015-05-01 02:18:11</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[morningJewshow]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>593895316719423488</td>\n",
              "      <td>This age/face recognition thing..no reason pla...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 21:50:52 +0000 2015</td>\n",
              "      <td>2015-04-30 23:50:52</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>593880638069018624</td>\n",
              "      <td>Only upside of the moment I can think of is th...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 20:52:32 +0000 2015</td>\n",
              "      <td>2015-04-30 22:52:32</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[Baltimore, fb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>593847955536252928</td>\n",
              "      <td>If you're going to think about+create experien...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 18:42:40 +0000 2015</td>\n",
              "      <td>2015-04-30 20:42:40</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[peopleoverinterfaces, UX]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>593847687847350272</td>\n",
              "      <td>Watching a thread on FB about possible future ...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 18:41:36 +0000 2015</td>\n",
              "      <td>2015-04-30 20:41:36</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839356</th>\n",
              "      <td>546418822677532673</td>\n",
              "      <td>\"When a woman no longer gets frustrated and up...</td>\n",
              "      <td>&lt;a href=\"http://www.tumblr.com/\" rel=\"nofollow...</td>\n",
              "      <td>2.776254e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Dec 20 21:36:13 +0000 2014</td>\n",
              "      <td>2014-12-20 22:36:13</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/YciJW35Hza]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839357</th>\n",
              "      <td>546379158251929600</td>\n",
              "      <td>\"Here’s the key to living a good life: “Meet a...</td>\n",
              "      <td>&lt;a href=\"http://www.tumblr.com/\" rel=\"nofollow...</td>\n",
              "      <td>2.776254e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Dec 20 18:58:37 +0000 2014</td>\n",
              "      <td>2014-12-20 19:58:37</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/jlbwyUEwoy]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839358</th>\n",
              "      <td>578751592213700608</td>\n",
              "      <td>RT @Cuauhtemoc_1521: #SabiasQue el nombre real...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>2.356426e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.786470e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri Mar 20 02:55:06 +0000 2015</td>\n",
              "      <td>2015-03-20 03:55:06</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[Cuauhtemoc_1521]</td>\n",
              "      <td>[SabiasQue]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.c]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839359</th>\n",
              "      <td>546379003465314306</td>\n",
              "      <td>\"If someone says they have their shit together...</td>\n",
              "      <td>&lt;a href=\"http://www.tumblr.com/\" rel=\"nofollow...</td>\n",
              "      <td>2.776254e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Dec 20 18:58:00 +0000 2014</td>\n",
              "      <td>2014-12-20 19:58:00</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/IOIiKF5qHO]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839360</th>\n",
              "      <td>588093827501527040</td>\n",
              "      <td>How to Train Your Coral: Imagine you are in th...</td>\n",
              "      <td>&lt;a href=\"http://twitterfeed.com\" rel=\"nofollow...</td>\n",
              "      <td>2.412403e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Tue Apr 14 21:37:49 +0000 2015</td>\n",
              "      <td>2015-04-14 23:37:49</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[Green, Environment]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/mXB2w5J9bn]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2826790 rows × 29 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                         id  ...                      urls\n",
              "0        593932392663912449  ...                        []\n",
              "1        593895316719423488  ...                        []\n",
              "2        593880638069018624  ...                        []\n",
              "3        593847955536252928  ...                        []\n",
              "4        593847687847350272  ...                        []\n",
              "...                     ...  ...                       ...\n",
              "2839356  546418822677532673  ...  [http://t.co/YciJW35Hza]\n",
              "2839357  546379158251929600  ...  [http://t.co/jlbwyUEwoy]\n",
              "2839358  578751592213700608  ...              [http://t.c]\n",
              "2839359  546379003465314306  ...  [http://t.co/IOIiKF5qHO]\n",
              "2839360  588093827501527040  ...  [http://t.co/mXB2w5J9bn]\n",
              "\n",
              "[2826790 rows x 29 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YsHRg_QEiPIP"
      },
      "source": [
        "```\r\n",
        "Note:\r\n",
        "extract entities,\r\n",
        "Do further Analysis\r\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EZYYrJYJiPIP"
      },
      "source": [
        "genuine_users = pd.read_csv('/content/cresci-17/genuine_accounts.csv/users.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5AVd4R2diPIQ"
      },
      "source": [
        "G = [[genuine_users[genuine_users['id']==int(u)].to_dict(),t] for u,t in genuine_tweets.groupby('user_id')]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_7w--x6giPIQ",
        "outputId": "41105531-2401-43d6-9aef-a53ac9236e01"
      },
      "source": [
        "G[0][0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'contributors_enabled': {2274: nan},\n",
              " 'crawled_at': {2274: '2015-05-01 12:57:24'},\n",
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              " 'name': {2274: 'Heather Gold'},\n",
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              " 'profile_background_color': {2274: 'FFFFFF'},\n",
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              " 'profile_sidebar_border_color': {2274: 'FFFFFF'},\n",
              " 'profile_sidebar_fill_color': {2274: 'E0FF92'},\n",
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              " 'profile_use_background_image': {2274: nan},\n",
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              " 'screen_name': {2274: 'heathr'},\n",
              " 'statuses_count': {2274: 45825},\n",
              " 'test_set_1': {2274: 0},\n",
              " 'test_set_2': {2274: 0},\n",
              " 'time_zone': {2274: 'Eastern Time (US & Canada)'},\n",
              " 'timestamp': {2274: '2007-01-22 02:57:38'},\n",
              " 'updated': {2274: '2016-03-15 16:05:16'},\n",
              " 'url': {2274: 'http://t.co/98fWa0t873'},\n",
              " 'utc_offset': {2274: -14400.0},\n",
              " 'verified': {2274: nan}}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 830
        },
        "id": "Lp6R56euiPIQ",
        "outputId": "4fdfb1b4-6356-4857-a7ca-da3167104fe1"
      },
      "source": [
        "G[0][1]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>id</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>593932392663912449</td>\n",
              "      <td>RT @morningJewshow: Speaking about Jews and co...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.939322e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri May 01 00:18:11 +0000 2015</td>\n",
              "      <td>2015-05-01 02:18:11</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[morningJewshow]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>593895316719423488</td>\n",
              "      <td>This age/face recognition thing..no reason pla...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 21:50:52 +0000 2015</td>\n",
              "      <td>2015-04-30 23:50:52</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
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              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>593880638069018624</td>\n",
              "      <td>Only upside of the moment I can think of is th...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 20:52:32 +0000 2015</td>\n",
              "      <td>2015-04-30 22:52:32</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[Baltimore, fb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>593847955536252928</td>\n",
              "      <td>If you're going to think about+create experien...</td>\n",
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              "      <td>2.0</td>\n",
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              "      <td>Thu Apr 30 18:42:40 +0000 2015</td>\n",
              "      <td>2015-04-30 20:42:40</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
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              "      <td>[peopleoverinterfaces, UX]</td>\n",
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              "      <td>[]</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>593847687847350272</td>\n",
              "      <td>Watching a thread on FB about possible future ...</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Thu Apr 30 18:41:36 +0000 2015</td>\n",
              "      <td>2015-04-30 20:41:36</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <th>3190</th>\n",
              "      <td>530894171100291072</td>\n",
              "      <td>Do you remember the day you got divorced? We'r...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Nov 08 01:26:48 +0000 2014</td>\n",
              "      <td>2014-11-08 02:26:48</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[]</td>\n",
              "      <td>[EISTC, fb]</td>\n",
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              "      <td>[]</td>\n",
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              "    <tr>\n",
              "      <th>3191</th>\n",
              "      <td>530872722083942401</td>\n",
              "      <td>Just another day when Oakland Tech sound makes...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Sat Nov 08 00:01:34 +0000 2014</td>\n",
              "      <td>2014-11-08 01:01:34</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[DanKalb]</td>\n",
              "      <td>[]</td>\n",
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              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3192</th>\n",
              "      <td>530854583577227264</td>\n",
              "      <td>So this makes me a gay gay divorcée.#EISTC #fb</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Fri Nov 07 22:49:30 +0000 2014</td>\n",
              "      <td>2014-11-07 23:49:30</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[]</td>\n",
              "      <td>[EISTC, fb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3193</th>\n",
              "      <td>530848406575390720</td>\n",
              "      <td>@Sore4punchingya Thank you so much. Seriously.</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>80967158.0</td>\n",
              "      <td>Sore4punchingya</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri Nov 07 22:24:57 +0000 2014</td>\n",
              "      <td>2014-11-07 23:24:57</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[Sore4punchingya]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3194</th>\n",
              "      <td>530843999313993728</td>\n",
              "      <td>RT @meganamram: People who think girls don't l...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.308381e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>775.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri Nov 07 22:07:26 +0000 2014</td>\n",
              "      <td>2014-11-07 23:07:26</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[meganamram]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3195 rows × 29 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      id  ... urls\n",
              "0     593932392663912449  ...   []\n",
              "1     593895316719423488  ...   []\n",
              "2     593880638069018624  ...   []\n",
              "3     593847955536252928  ...   []\n",
              "4     593847687847350272  ...   []\n",
              "...                  ...  ...  ...\n",
              "3190  530894171100291072  ...   []\n",
              "3191  530872722083942401  ...   []\n",
              "3192  530854583577227264  ...   []\n",
              "3193  530848406575390720  ...   []\n",
              "3194  530843999313993728  ...   []\n",
              "\n",
              "[3195 rows x 29 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2eI7A842iPIQ",
        "outputId": "9ab0b892-ab8c-4071-8cc1-47970f848528"
      },
      "source": [
        "genuine_users.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3474, 42)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ip-Ob_gqiPIR"
      },
      "source": [
        "with open('/content/drive/MyDrive/Cresci17/Genuine_ACC/genuine_ACC-3474.pkl','wb') as f:\r\n",
        "  pkl.dump(G,f)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NNlHZD70lorX"
      },
      "source": [
        "## social_spambots"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IenY8ktblora",
        "outputId": "31239b42-64fa-4f0b-85ad-ffeb5da694dc"
      },
      "source": [
        "ss_tweets = pd.read_csv('/content/cresci-17/genuine_accounts.csv/tweets.csv')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (0) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R_yavHEBlorb"
      },
      "source": [
        "genuine_tweets['user_mentions'] = genuine_tweets.text.str.findall(r'(?<![@\\w])@(\\w{1,25})')\r\n",
        "genuine_tweets['hashtags'] = genuine_tweets.text.str.findall(r'(?<![#\\w])#(\\w{1,25})')\r\n",
        "genuine_tweets['symbols'] = genuine_tweets.text.str.findall(r'(?<![$\\w])$(\\w{1,6})')\r\n",
        "genuine_tweets['urls'] = genuine_tweets.text.str.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dtf_4LRmlorb"
      },
      "source": [
        "genuine_tweets.replace([],np.NaN,inplace=True)\r\n",
        "genuine_tweets = genuine_tweets[genuine_tweets.text.notna()]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "XGV3EASUlorc",
        "outputId": "96e6f00b-2bbb-456b-f95e-b7573e1f7ded"
      },
      "source": [
        "genuine_tweets"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>user_id</th>\n",
              "      <th>truncated</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>retweeted_status_id</th>\n",
              "      <th>geo</th>\n",
              "      <th>place</th>\n",
              "      <th>contributors</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>reply_count</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>favorited</th>\n",
              "      <th>retweeted</th>\n",
              "      <th>possibly_sensitive</th>\n",
              "      <th>num_hashtags</th>\n",
              "      <th>num_urls</th>\n",
              "      <th>num_mentions</th>\n",
              "      <th>created_at</th>\n",
              "      <th>timestamp</th>\n",
              "      <th>crawled_at</th>\n",
              "      <th>updated</th>\n",
              "      <th>user_mentions</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>symbols</th>\n",
              "      <th>urls</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>593932392663912449</td>\n",
              "      <td>RT @morningJewshow: Speaking about Jews and co...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.939322e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri May 01 00:18:11 +0000 2015</td>\n",
              "      <td>2015-05-01 02:18:11</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[morningJewshow]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>593895316719423488</td>\n",
              "      <td>This age/face recognition thing..no reason pla...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 21:50:52 +0000 2015</td>\n",
              "      <td>2015-04-30 23:50:52</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>593880638069018624</td>\n",
              "      <td>Only upside of the moment I can think of is th...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 20:52:32 +0000 2015</td>\n",
              "      <td>2015-04-30 22:52:32</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[Baltimore, fb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>593847955536252928</td>\n",
              "      <td>If you're going to think about+create experien...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 18:42:40 +0000 2015</td>\n",
              "      <td>2015-04-30 20:42:40</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[peopleoverinterfaces, UX]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>593847687847350272</td>\n",
              "      <td>Watching a thread on FB about possible future ...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>6.780330e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 18:41:36 +0000 2015</td>\n",
              "      <td>2015-04-30 20:41:36</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839356</th>\n",
              "      <td>546418822677532673</td>\n",
              "      <td>\"When a woman no longer gets frustrated and up...</td>\n",
              "      <td>&lt;a href=\"http://www.tumblr.com/\" rel=\"nofollow...</td>\n",
              "      <td>2.776254e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Dec 20 21:36:13 +0000 2014</td>\n",
              "      <td>2014-12-20 22:36:13</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/YciJW35Hza]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839357</th>\n",
              "      <td>546379158251929600</td>\n",
              "      <td>\"Here’s the key to living a good life: “Meet a...</td>\n",
              "      <td>&lt;a href=\"http://www.tumblr.com/\" rel=\"nofollow...</td>\n",
              "      <td>2.776254e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Dec 20 18:58:37 +0000 2014</td>\n",
              "      <td>2014-12-20 19:58:37</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/jlbwyUEwoy]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839358</th>\n",
              "      <td>578751592213700608</td>\n",
              "      <td>RT @Cuauhtemoc_1521: #SabiasQue el nombre real...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>2.356426e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.786470e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri Mar 20 02:55:06 +0000 2015</td>\n",
              "      <td>2015-03-20 03:55:06</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[Cuauhtemoc_1521]</td>\n",
              "      <td>[SabiasQue]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.c]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839359</th>\n",
              "      <td>546379003465314306</td>\n",
              "      <td>\"If someone says they have their shit together...</td>\n",
              "      <td>&lt;a href=\"http://www.tumblr.com/\" rel=\"nofollow...</td>\n",
              "      <td>2.776254e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Dec 20 18:58:00 +0000 2014</td>\n",
              "      <td>2014-12-20 19:58:00</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/IOIiKF5qHO]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2839360</th>\n",
              "      <td>588093827501527040</td>\n",
              "      <td>How to Train Your Coral: Imagine you are in th...</td>\n",
              "      <td>&lt;a href=\"http://twitterfeed.com\" rel=\"nofollow...</td>\n",
              "      <td>2.412403e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Tue Apr 14 21:37:49 +0000 2015</td>\n",
              "      <td>2015-04-14 23:37:49</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>2015-05-01 16:15:29</td>\n",
              "      <td>[]</td>\n",
              "      <td>[Green, Environment]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[http://t.co/mXB2w5J9bn]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2826790 rows × 29 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                         id  ...                      urls\n",
              "0        593932392663912449  ...                        []\n",
              "1        593895316719423488  ...                        []\n",
              "2        593880638069018624  ...                        []\n",
              "3        593847955536252928  ...                        []\n",
              "4        593847687847350272  ...                        []\n",
              "...                     ...  ...                       ...\n",
              "2839356  546418822677532673  ...  [http://t.co/YciJW35Hza]\n",
              "2839357  546379158251929600  ...  [http://t.co/jlbwyUEwoy]\n",
              "2839358  578751592213700608  ...              [http://t.c]\n",
              "2839359  546379003465314306  ...  [http://t.co/IOIiKF5qHO]\n",
              "2839360  588093827501527040  ...  [http://t.co/mXB2w5J9bn]\n",
              "\n",
              "[2826790 rows x 29 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "36qkhEFnlorc"
      },
      "source": [
        "```\r\n",
        "Note:\r\n",
        "extract entities,\r\n",
        "Do further Analysis\r\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3EKKhKYtlord"
      },
      "source": [
        "genuine_users = pd.read_csv('/content/cresci-17/genuine_accounts.csv/users.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "clKzdshZlord"
      },
      "source": [
        "G = [[genuine_users[genuine_users['id']==int(u)].to_dict(),t] for u,t in genuine_tweets.groupby('user_id')]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "62aSO1rBlord",
        "outputId": "41105531-2401-43d6-9aef-a53ac9236e01"
      },
      "source": [
        "G[0][0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'contributors_enabled': {2274: nan},\n",
              " 'crawled_at': {2274: '2015-05-01 12:57:24'},\n",
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              " 'screen_name': {2274: 'heathr'},\n",
              " 'statuses_count': {2274: 45825},\n",
              " 'test_set_1': {2274: 0},\n",
              " 'test_set_2': {2274: 0},\n",
              " 'time_zone': {2274: 'Eastern Time (US & Canada)'},\n",
              " 'timestamp': {2274: '2007-01-22 02:57:38'},\n",
              " 'updated': {2274: '2016-03-15 16:05:16'},\n",
              " 'url': {2274: 'http://t.co/98fWa0t873'},\n",
              " 'utc_offset': {2274: -14400.0},\n",
              " 'verified': {2274: nan}}"
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          "metadata": {
            "tags": []
          },
          "execution_count": 87
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 830
        },
        "id": "l1QXosfalord",
        "outputId": "4fdfb1b4-6356-4857-a7ca-da3167104fe1"
      },
      "source": [
        "G[0][1]"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>593932392663912449</td>\n",
              "      <td>RT @morningJewshow: Speaking about Jews and co...</td>\n",
              "      <td>&lt;a href=\"http://tapbots.com/tweetbot\" rel=\"nof...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.939322e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri May 01 00:18:11 +0000 2015</td>\n",
              "      <td>2015-05-01 02:18:11</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[morningJewshow]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>593895316719423488</td>\n",
              "      <td>This age/face recognition thing..no reason pla...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>Thu Apr 30 21:50:52 +0000 2015</td>\n",
              "      <td>2015-04-30 23:50:52</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>593880638069018624</td>\n",
              "      <td>Only upside of the moment I can think of is th...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>Thu Apr 30 20:52:32 +0000 2015</td>\n",
              "      <td>2015-04-30 22:52:32</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[Baltimore, fb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>593847955536252928</td>\n",
              "      <td>If you're going to think about+create experien...</td>\n",
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              "      <td>Thu Apr 30 18:42:40 +0000 2015</td>\n",
              "      <td>2015-04-30 20:42:40</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>[]</td>\n",
              "      <td>[peopleoverinterfaces, UX]</td>\n",
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              "      <td>[]</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>593847687847350272</td>\n",
              "      <td>Watching a thread on FB about possible future ...</td>\n",
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              "      <td>Thu Apr 30 18:41:36 +0000 2015</td>\n",
              "      <td>2015-04-30 20:41:36</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
              "      <td>2015-05-01 12:57:19</td>\n",
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              "      <td>530894171100291072</td>\n",
              "      <td>Do you remember the day you got divorced? We'r...</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Sat Nov 08 01:26:48 +0000 2014</td>\n",
              "      <td>2014-11-08 02:26:48</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[]</td>\n",
              "      <td>[EISTC, fb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3191</th>\n",
              "      <td>530872722083942401</td>\n",
              "      <td>Just another day when Oakland Tech sound makes...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Sat Nov 08 00:01:34 +0000 2014</td>\n",
              "      <td>2014-11-08 01:01:34</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[DanKalb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3192</th>\n",
              "      <td>530854583577227264</td>\n",
              "      <td>So this makes me a gay gay divorcée.#EISTC #fb</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Fri Nov 07 22:49:30 +0000 2014</td>\n",
              "      <td>2014-11-07 23:49:30</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[]</td>\n",
              "      <td>[EISTC, fb]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3193</th>\n",
              "      <td>530848406575390720</td>\n",
              "      <td>@Sore4punchingya Thank you so much. Seriously.</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>80967158.0</td>\n",
              "      <td>Sore4punchingya</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri Nov 07 22:24:57 +0000 2014</td>\n",
              "      <td>2014-11-07 23:24:57</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[Sore4punchingya]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3194</th>\n",
              "      <td>530843999313993728</td>\n",
              "      <td>RT @meganamram: People who think girls don't l...</td>\n",
              "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
              "      <td>678033.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.308381e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>775.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Fri Nov 07 22:07:26 +0000 2014</td>\n",
              "      <td>2014-11-07 23:07:26</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>2015-05-01 12:57:24</td>\n",
              "      <td>[meganamram]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3195 rows × 29 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      id  ... urls\n",
              "0     593932392663912449  ...   []\n",
              "1     593895316719423488  ...   []\n",
              "2     593880638069018624  ...   []\n",
              "3     593847955536252928  ...   []\n",
              "4     593847687847350272  ...   []\n",
              "...                  ...  ...  ...\n",
              "3190  530894171100291072  ...   []\n",
              "3191  530872722083942401  ...   []\n",
              "3192  530854583577227264  ...   []\n",
              "3193  530848406575390720  ...   []\n",
              "3194  530843999313993728  ...   []\n",
              "\n",
              "[3195 rows x 29 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ElnoKUmPlore",
        "outputId": "9ab0b892-ab8c-4071-8cc1-47970f848528"
      },
      "source": [
        "genuine_users.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3474, 42)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U6h1_HoSlore"
      },
      "source": [
        "with open('/content/drive/MyDrive/Cresci17/Genuine_ACC/genuine_ACC-3474.pkl','wb') as f:\r\n",
        "  pkl.dump(G,f)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YbdF2TeEpxCF"
      },
      "source": [
        "## Traditional Spambots"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "exjU9UkipT01",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "b7af4950-66bf-4534-f141-302173c8ef91"
      },
      "source": [
        "pd.read_csv(\"/content/cresci-17/traditional_spambots_2.csv/users.csv\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>screen_name</th>\n",
              "      <th>statuses_count</th>\n",
              "      <th>followers_count</th>\n",
              "      <th>friends_count</th>\n",
              "      <th>favourites_count</th>\n",
              "      <th>listed_count</th>\n",
              "      <th>url</th>\n",
              "      <th>lang</th>\n",
              "      <th>time_zone</th>\n",
              "      <th>location</th>\n",
              "      <th>default_profile</th>\n",
              "      <th>default_profile_image</th>\n",
              "      <th>geo_enabled</th>\n",
              "      <th>profile_image_url</th>\n",
              "      <th>profile_banner_url</th>\n",
              "      <th>profile_use_background_image</th>\n",
              "      <th>profile_background_image_url_https</th>\n",
              "      <th>profile_text_color</th>\n",
              "      <th>profile_image_url_https</th>\n",
              "      <th>profile_sidebar_border_color</th>\n",
              "      <th>profile_background_tile</th>\n",
              "      <th>profile_sidebar_fill_color</th>\n",
              "      <th>profile_background_image_url</th>\n",
              "      <th>profile_background_color</th>\n",
              "      <th>profile_link_color</th>\n",
              "      <th>utc_offset</th>\n",
              "      <th>is_translator</th>\n",
              "      <th>follow_request_sent</th>\n",
              "      <th>protected</th>\n",
              "      <th>verified</th>\n",
              "      <th>notifications</th>\n",
              "      <th>description</th>\n",
              "      <th>contributors_enabled</th>\n",
              "      <th>following</th>\n",
              "      <th>created_at</th>\n",
              "      <th>timestamp</th>\n",
              "      <th>crawled_at</th>\n",
              "      <th>updated</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2355955040</td>\n",
              "      <td>Prize Giveaways</td>\n",
              "      <td>PrizeCrazy66450</td>\n",
              "      <td>716</td>\n",
              "      <td>86</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>http://t.co/CF0tmHKIHk</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4573684042...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23559550...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/457368404...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique prize code is nece...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Sat Feb 22 07:22:34 +0000 2014</td>\n",
              "      <td>2014-02-22 08:22:34</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:46:02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2368624550</td>\n",
              "      <td>Prize Giveaways</td>\n",
              "      <td>Prizetopia43484</td>\n",
              "      <td>779</td>\n",
              "      <td>87</td>\n",
              "      <td>79</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>http://t.co/3agfNy4i4S</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4570426000...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23686245...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/457042600...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique invite code is nee...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Sun Mar 02 09:38:19 +0000 2014</td>\n",
              "      <td>2014-03-02 10:38:19</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:46:02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2355950858</td>\n",
              "      <td>Prize Crazy</td>\n",
              "      <td>TweetWin57918</td>\n",
              "      <td>753</td>\n",
              "      <td>89</td>\n",
              "      <td>97</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>http://t.co/jlIaA4LovD</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4573683397...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23559508...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/457368339...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique invitation code is...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Sat Feb 22 07:19:00 +0000 2014</td>\n",
              "      <td>2014-02-22 08:19:00</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:46:02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2357744766</td>\n",
              "      <td>Prize World</td>\n",
              "      <td>Prizetopia67432</td>\n",
              "      <td>743</td>\n",
              "      <td>93</td>\n",
              "      <td>104</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>http://t.co/lVWwVDdjr6</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4570509940...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23577447...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/457050994...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique invitation code is...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Sun Feb 23 09:30:43 +0000 2014</td>\n",
              "      <td>2014-02-23 10:30:43</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:46:03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2362454995</td>\n",
              "      <td>Prize Rocket</td>\n",
              "      <td>PrizeFun52329</td>\n",
              "      <td>180</td>\n",
              "      <td>87</td>\n",
              "      <td>71</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>http://t.co/rPMDkKvchA</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4619790772...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23624549...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/461979077...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTE TO WINNERS: A unique invitation code is n...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Wed Feb 26 09:57:57 +0000 2014</td>\n",
              "      <td>2014-02-26 10:57:57</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:46:03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>2368584738</td>\n",
              "      <td>Prize Lotto</td>\n",
              "      <td>TweetWin00194</td>\n",
              "      <td>810</td>\n",
              "      <td>92</td>\n",
              "      <td>90</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>http://t.co/u8ayOaC4fX</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4570424260...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23685847...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/457042426...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique invitation code is...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Sun Mar 02 09:02:39 +0000 2014</td>\n",
              "      <td>2014-03-02 10:02:39</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:48:35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>2368468476</td>\n",
              "      <td>Prize Crazy</td>\n",
              "      <td>TweetLotto39076</td>\n",
              "      <td>759</td>\n",
              "      <td>91</td>\n",
              "      <td>100</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>http://t.co/W5QXrAgArb</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4570422278...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23684684...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/457042227...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique prize code is nece...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Sun Mar 02 07:09:49 +0000 2014</td>\n",
              "      <td>2014-03-02 08:09:49</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:48:35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>2330520211</td>\n",
              "      <td>Prize Boat</td>\n",
              "      <td>Prizetopia50737</td>\n",
              "      <td>766</td>\n",
              "      <td>58</td>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>http://t.co/zcBdOrWaUt</td>\n",
              "      <td>en-gb</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4565283191...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23305202...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/456528319...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique invitation code is...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Thu Feb 06 16:12:51 +0000 2014</td>\n",
              "      <td>2014-02-06 17:12:51</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:48:36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>2341025366</td>\n",
              "      <td>Prize World</td>\n",
              "      <td>PrizeCrazy92208</td>\n",
              "      <td>802</td>\n",
              "      <td>19</td>\n",
              "      <td>28</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>http://t.co/STZW31GnrT</td>\n",
              "      <td>en</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4566580252...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23410253...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/456658025...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTE TO WINNERS: A unique prize code is needed...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Wed Feb 12 22:39:48 +0000 2014</td>\n",
              "      <td>2014-02-12 23:39:48</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:48:36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>2343033816</td>\n",
              "      <td>Prize Tweets</td>\n",
              "      <td>PrizeCrazy81096</td>\n",
              "      <td>815</td>\n",
              "      <td>23</td>\n",
              "      <td>42</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>http://t.co/A8RHzMua5D</td>\n",
              "      <td>en</td>\n",
              "      <td>Hawaii</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/4566585641...</td>\n",
              "      <td>https://pbs.twimg.com/profile_banners/23430338...</td>\n",
              "      <td>1</td>\n",
              "      <td>https://pbs.twimg.com/profile_background_image...</td>\n",
              "      <td>333333</td>\n",
              "      <td>https://pbs.twimg.com/profile_images/456658564...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DDEEF6</td>\n",
              "      <td>http://pbs.twimg.com/profile_background_images...</td>\n",
              "      <td>FFFFFF</td>\n",
              "      <td>7.000000e+306</td>\n",
              "      <td>-36000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NOTICE TO WINNERS: A unique invite code is nee...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Fri Feb 14 04:17:11 +0000 2014</td>\n",
              "      <td>2014-02-14 05:17:11</td>\n",
              "      <td>2014-05-05 21:59:19</td>\n",
              "      <td>2016-03-14 15:48:36</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 40 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            id             name  ...           crawled_at              updated\n",
              "0   2355955040  Prize Giveaways  ...  2014-05-05 21:59:19  2016-03-14 15:46:02\n",
              "1   2368624550  Prize Giveaways  ...  2014-05-05 21:59:19  2016-03-14 15:46:02\n",
              "2   2355950858      Prize Crazy  ...  2014-05-05 21:59:19  2016-03-14 15:46:02\n",
              "3   2357744766      Prize World  ...  2014-05-05 21:59:19  2016-03-14 15:46:03\n",
              "4   2362454995     Prize Rocket  ...  2014-05-05 21:59:19  2016-03-14 15:46:03\n",
              "..         ...              ...  ...                  ...                  ...\n",
              "95  2368584738      Prize Lotto  ...  2014-05-05 21:59:19  2016-03-14 15:48:35\n",
              "96  2368468476      Prize Crazy  ...  2014-05-05 21:59:19  2016-03-14 15:48:35\n",
              "97  2330520211       Prize Boat  ...  2014-05-05 21:59:19  2016-03-14 15:48:36\n",
              "98  2341025366      Prize World  ...  2014-05-05 21:59:19  2016-03-14 15:48:36\n",
              "99  2343033816     Prize Tweets  ...  2014-05-05 21:59:19  2016-03-14 15:48:36\n",
              "\n",
              "[100 rows x 40 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dlKjDVmsp0dh"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LlGv6-Cgrx6P"
      },
      "source": [
        "# Celebrity"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e4FYPSf7tm4x"
      },
      "source": [
        "!wget https://botometer.osome.iu.edu/bot-repository/datasets/celebrity-2019/celebrity-2019.tar.gz -q\r\n",
        "!mkdir celebrity\r\n",
        "!tar xzf celebrity-2019.tar.gz -C celebrity\r\n",
        "!rm celebrity-2019.tar.gz\r\n",
        "print(\"Celebrity-2019 downloaded and extracted\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l5jYulgcrzez"
      },
      "source": [
        "human_ids = pd.read_csv(\"/content/celebrity/celebrity-2019.tsv\",sep = '\\t',header=None)[0].values"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4WxEmigwsDvk",
        "outputId": "756736af-5c28-4cd0-9659-5da386631785"
      },
      "source": [
        "failedNew = []\r\n",
        "done = []\r\n",
        "for x in tqdm(failed):\r\n",
        "  try:\r\n",
        "    done.append(api.user_timeline(x,count = 500))\r\n",
        "  except tweepy.RateLimitError:\r\n",
        "    print('\\nRate Exceeded')\r\n",
        "    time.sleep(15*60)\r\n",
        "    print(\"\\nStarted\")\r\n",
        "  except Exception as e:\r\n",
        "    failedNew.append(x)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 60%|██████    | 900/1500 [07:48<05:08,  1.94it/s]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Rate Exceeded\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "\r 60%|██████    | 901/1500 [22:48<44:59:51, 270.44s/it]"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Started\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 1500/1500 [27:57<00:00,  1.12s/it]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kvy1rXL7tqJH"
      },
      "source": [
        "with open(\"human-1500#4.pkl\", 'wb') as f:\r\n",
        "  pkl.dump(done,f)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-uhm_qMutqJM"
      },
      "source": [
        "!mv \"/content/human-1500#4.pkl\" \"/content/drive/MyDrive/Celebrity\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z6f6_8Psta6b",
        "outputId": "e71df925-f577-459f-f629-b54225ec2252"
      },
      "source": [
        "len(done),len(failedNew)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1437, 62)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b7xSIxMbLcHD"
      },
      "source": [
        "!mv  \"/content/drive/MyDrive/Celebrity\" /content/"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gw3DYDVVSbRw",
        "outputId": "559e9e31-8301-48c9-d88f-eabe771e6792"
      },
      "source": [
        "!7z a Celebrity.7z Celebrity"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "7-Zip [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21\n",
            "p7zip Version 16.02 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,2 CPUs Intel(R) Xeon(R) CPU @ 2.30GHz (306F0),ASM,AES-NI)\n",
            "\n",
            "Scanning the drive:\n",
            "  0M Scan \b\b\b\b\b\b\b\b\b\b          \b\b\b\b\b\b\b\b\b\b2 folders, 4 files, 4091836867 bytes (3903 MiB)\n",
            "\n",
            "Creating archive: Celebrity.7z\n",
            "\n",
            "Items to compress: 6\n",
            "\n",
            "  0%\b\b\b\b    \b\b\b\b  0% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  1% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  2% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  3% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  4% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  5% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  6% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  7% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  8% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b  9% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 10% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 11% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 12% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 13% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 14% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 15% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 16% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 17% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 18% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 19% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 20% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 21% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 22% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 23% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 24% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 25% + Celebrity/human-1500#2.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 25% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 26% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 27% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 28% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 29% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 30% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 31% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 32% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 33% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 34% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 35% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 36% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 37% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 38% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 39% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 40% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 41% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 42% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 43% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 44% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 45% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 46% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 47% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 48% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 49% 1 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 49% 2 + Celebrity/human-1500#3.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 49% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 50% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 51% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 52% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 53% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 54% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 55% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 56% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 57% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 58% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 59% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 60% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 61% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 62% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 63% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 64% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 65% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 66% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 67% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 68% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 69% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 70% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 71% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 72% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 73% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 74% 2 + Celebrity/human-1500#4.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                   \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 74% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 75% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 76% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 77% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 78% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 79% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 80% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 81% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 82% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 83% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 84% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 85% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 86% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 87% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 88% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 89% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 90% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 91% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 92% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 93% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 94% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 95% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 96% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 97% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 98% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b 99% 3 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b100% 4 + Celebrity/human-1500.pkl\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b                                 \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
            "Files read from disk: 4\n",
            "Archive size: 562648610 bytes (537 MiB)\n",
            "Everything is Ok\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mZrISkx-SqHk"
      },
      "source": [
        "!mv  /content/Celebrity.7z \"/content/drive/MyDrive\""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}