Parse BBC.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/rishushrivastava/Documents/GitHub/MLPy'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/289.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/262.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/276.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/060.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/074.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/048.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/114.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/100.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/128.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/316.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/302.txt'),\n",
       " ('entertainment',\n",
       "  '/Users/rishushrivastava/Documents/AI/Dataset/bbc/entertainment/303.txt'),\n",
       " ('entertainment',\n",
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       " ('entertainment',\n",
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       " ('entertainment',\n",
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       " ('entertainment',\n",
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       " ('entertainment',\n",
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       " ('entertainment',\n",
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       " ('entertainment',\n",
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       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/507.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/249.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/088.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/077.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/063.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/103.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/117.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/498.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/467.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/301.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/315.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/473.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/329.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/328.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/314.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/472.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/466.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/300.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/499.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/116.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/102.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/062.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/076.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/089.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/248.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/260.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/506.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/274.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/258.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/270.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/502.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/264.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/099.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/072.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/066.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/106.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/112.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/489.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/338.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/304.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/462.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/476.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/310.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/477.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/311.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/305.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/463.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/339.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/488.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/113.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/107.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/067.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/073.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/098.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/503.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/265.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/271.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/259.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/298.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/267.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/501.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/273.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/059.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/065.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/071.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/139.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/111.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/105.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/449.txt'),\n",
       " ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/313.txt'),\n",
       " ...]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path = \"/Users/rishushrivastava/Documents/AI/Dataset/bbc\"\n",
    "\n",
    "file_list = []\n",
    "for dirpath,dirname,filename in os.walk(path):\n",
    "    category = dirpath.split('/')[-1]\n",
    "    [ file_list.append((category, dirpath+'/'+f)) for f in filename if '.txt' in f ]\n",
    "\n",
    "file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_content = []\n",
    "\n",
    "for category, files in file_list:\n",
    "    with open(files,'r',encoding='latin1') as f:\n",
    "        #print(f'reading file {files} in category: {category}')\n",
    "        content = f.read()\n",
    "        content_dict = {'category':category, 'content':content, 'filename':files}\n",
    "        data_content.append(content_dict)\n",
    "        \n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "output_path = '/Users/rishushrivastava/Documents/AI/Dataset/'\n",
    "\n",
    "with open(output_path+'bbc_raw_dict.json','w') as of:\n",
    "    json.dump(data_content, of)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "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>category</th>\n",
       "      <th>content</th>\n",
       "      <th>filename</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>entertainment</td>\n",
       "      <td>Musicians to tackle US red tape\\n\\nMusicians' ...</td>\n",
       "      <td>/Users/rishushrivastava/Documents/AI/Dataset/b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>entertainment</td>\n",
       "      <td>U2's desire to be number one\\n\\nU2, who have w...</td>\n",
       "      <td>/Users/rishushrivastava/Documents/AI/Dataset/b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>entertainment</td>\n",
       "      <td>Rocker Doherty in on-stage fight\\n\\nRock singe...</td>\n",
       "      <td>/Users/rishushrivastava/Documents/AI/Dataset/b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>entertainment</td>\n",
       "      <td>Snicket tops US box office chart\\n\\nThe film a...</td>\n",
       "      <td>/Users/rishushrivastava/Documents/AI/Dataset/b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>entertainment</td>\n",
       "      <td>Ocean's Twelve raids box office\\n\\nOcean's Twe...</td>\n",
       "      <td>/Users/rishushrivastava/Documents/AI/Dataset/b...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        category                                            content  \\\n",
       "0  entertainment  Musicians to tackle US red tape\\n\\nMusicians' ...   \n",
       "1  entertainment  U2's desire to be number one\\n\\nU2, who have w...   \n",
       "2  entertainment  Rocker Doherty in on-stage fight\\n\\nRock singe...   \n",
       "3  entertainment  Snicket tops US box office chart\\n\\nThe film a...   \n",
       "4  entertainment  Ocean's Twelve raids box office\\n\\nOcean's Twe...   \n",
       "\n",
       "                                            filename  \n",
       "0  /Users/rishushrivastava/Documents/AI/Dataset/b...  \n",
       "1  /Users/rishushrivastava/Documents/AI/Dataset/b...  \n",
       "2  /Users/rishushrivastava/Documents/AI/Dataset/b...  \n",
       "3  /Users/rishushrivastava/Documents/AI/Dataset/b...  \n",
       "4  /Users/rishushrivastava/Documents/AI/Dataset/b...  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_data = pd.read_json(output_path+'bbc_raw_dict.json')\n",
    "\n",
    "read_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "business         510\n",
       "entertainment    386\n",
       "sport            208\n",
       "Name: category, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_data['category'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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