Final_1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4fe92672",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Error loading punkt: <urlopen error [WinError 10060] A\n",
      "[nltk_data]     connection attempt failed because the connected party\n",
      "[nltk_data]     did not properly respond after a period of time, or\n",
      "[nltk_data]     established connection failed because connected host\n",
      "[nltk_data]     has failed to respond>\n",
      "[nltk_data] Error loading vader_lexicon: <urlopen error [WinError\n",
      "[nltk_data]     10060] A connection attempt failed because the\n",
      "[nltk_data]     connected party did not properly respond after a\n",
      "[nltk_data]     period of time, or established connection failed\n",
      "[nltk_data]     because connected host has failed to respond>\n",
      "[nltk_data] Error loading stopwords: <urlopen error [WinError 10060] A\n",
      "[nltk_data]     connection attempt failed because the connected party\n",
      "[nltk_data]     did not properly respond after a period of time, or\n",
      "[nltk_data]     established connection failed because connected host\n",
      "[nltk_data]     has failed to respond>\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: wordcloud in c:\\users\\akshit\\anaconda3\\lib\\site-packages (1.8.2.2)\n",
      "Requirement already satisfied: numpy>=1.6.1 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from wordcloud) (1.23.5)\n",
      "Requirement already satisfied: pillow in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from wordcloud) (9.4.0)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from wordcloud) (3.7.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (3.0.9)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (4.25.0)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (0.11.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (2.8.2)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (1.4.4)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (1.0.5)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (22.0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib->wordcloud) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "import selenium\n",
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.by import By\n",
    "from selenium.webdriver.common.keys import Keys\n",
    "from time import sleep\n",
    "import getpass\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "import nltk\n",
    "nltk.download('punkt')\n",
    "\n",
    "from nltk.sentiment import SentimentIntensityAnalyzer\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "nltk.download('vader_lexicon')\n",
    "sia= SentimentIntensityAnalyzer()\n",
    "\n",
    "import re\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "nltk.download('stopwords')\n",
    "\n",
    "!pip install wordcloud\n",
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "08d48095",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\AKSHIT\\AppData\\Local\\Temp\\ipykernel_19864\\1893844227.py:8: DeprecationWarning: executable_path has been deprecated, please pass in a Service object\n",
      "  driver = webdriver.Chrome(PATH)\n"
     ]
    }
   ],
   "source": [
    "my_user = \"Abhi0071812\"\n",
    "# my_pass = getpass.getpass()\n",
    "my_pass = \"abhi0708\"\n",
    "\n",
    "search_item = \"RCB\"\n",
    "\n",
    "PATH=\"D:\\Drivers\\chromedriver.exe\"\n",
    "driver = webdriver.Chrome(PATH)\n",
    "driver.get(\"https://twitter.com/i/flow/login\")\n",
    "# driver.maximize_window()\n",
    "sleep(10)\n",
    "\n",
    "user_id = driver.find_element(By.XPATH,\"//input[@type='text']\")\n",
    "user_id.send_keys(my_user)\n",
    "user_id.send_keys(Keys.ENTER)\n",
    "\n",
    "sleep(10)\n",
    "password = driver.find_element(By.XPATH,\"//input[@type='password']\")\n",
    "password.send_keys(my_pass)\n",
    "password.send_keys(Keys.ENTER)\n",
    "\n",
    "sleep(10)\n",
    "search_box = driver.find_element(By.XPATH,\"//input[@data-testid='SearchBox_Search_Input']\")\n",
    "search_box.send_keys(search_item)\n",
    "search_box.send_keys(Keys.ENTER)\n",
    "\n",
    "all_tweets = set()\n",
    "\n",
    "sleep(3)\n",
    "tweets = driver.find_elements(By.XPATH,\"//div[@data-testid='tweetText']\")\n",
    "while True:\n",
    "    for tweet in tweets:\n",
    "        all_tweets.add(tweet.text)\n",
    "    driver.execute_script('window.scrollTo(0, document.body.scrollHeight);')\n",
    "    sleep(3)\n",
    "    tweets = driver.find_elements(By.XPATH,\"//div[@data-testid='tweetText']\")\n",
    "    if len(all_tweets)>50:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a23e1b74",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50, 1)\n"
     ]
    },
    {
     "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>tweets</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RCB’s desperately needed an in-batter for the ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Scenes After RCB Won Against RR:</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Anuj Rawat provided a terrific finish to RCB.</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Maxi making the fielders mere spectators! \\n\\n...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>And that's a clean sweep of the awards for our...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Rcb to RR</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Job done in ten and a half overs \\n\\npoints in...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>First RCB fans\\n- Then CSK fans\\n- Now SRH fan...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Hetmyer broke the dream of RCB fans</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>After powerplay :-\\n\\nRCB was 42-0, thanks to ...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Meanwhile Jos Luttler's show against RCB this ...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Akash Chopra (in commentary) : \\nVirat Kohli p...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>No time to get ready for your meeting? Use xpr...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Virat Kohli after won match vs RR.\\n\\nOnly RCB...</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Last time RR vs RCB was a day game and KKR vs ...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>RCB fans &amp; their miserable lifes</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NRR of RCB before this game: -0.345\\n\\nNRR of ...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Time to show this choker team their levels. Pl...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>RCB's qualification scenario explained. \\n\\n#I...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>RCB RCB #RCBvsRR</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>CSK fans abusing their own players after just ...</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>RCB is still in the race of Playoffs</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>RCB winning and CSK loosing in same day</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Impact sub time! \\n\\nWe need some crucial over...</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Best fanbase ever \\nRCB RCB all over the stadi...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>RCB fans going to give mangoes to Naveen Ul Haq.</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>A massive win at a much needed time for RCB. T...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>What a knock by Anuj Rawat, 29* from just 11 b...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Who got this amount of confidence on RCB ?</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Massive win for RCB. \\n\\nCompletely madness\\n\\...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>RCB surviving in IPL 2023</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>RCB showed will to go further. RR almost out o...</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2nd favourite team of every RCB fan from now o...</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Glenn Maxwell the saviour once again \\n68(33) ...</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>If LUCK favours, RCB can also end up at NUMBER...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2 fixers Csk and RR lost\\nRCB won \\nWarra beau...</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               tweets  id\n",
       "0   RCB’s desperately needed an in-batter for the ...   1\n",
       "1   We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...   2\n",
       "2   We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...   3\n",
       "3   Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...   4\n",
       "4   RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...   5\n",
       "5                    Scenes After RCB Won Against RR:   6\n",
       "6       Anuj Rawat provided a terrific finish to RCB.   7\n",
       "7         Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB   8\n",
       "8   Maxi making the fielders mere spectators! \\n\\n...   9\n",
       "9   14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...  10\n",
       "10  58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...  11\n",
       "11  And that's a clean sweep of the awards for our...  12\n",
       "12                                          Rcb to RR  13\n",
       "13  Job done in ten and a half overs \\n\\npoints in...  14\n",
       "14  First RCB fans\\n- Then CSK fans\\n- Now SRH fan...  15\n",
       "15                Hetmyer broke the dream of RCB fans  16\n",
       "16  After powerplay :-\\n\\nRCB was 42-0, thanks to ...  17\n",
       "17  Meanwhile Jos Luttler's show against RCB this ...  18\n",
       "18  Akash Chopra (in commentary) : \\nVirat Kohli p...  19\n",
       "19  No time to get ready for your meeting? Use xpr...  20\n",
       "20  Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...  21\n",
       "21  Virat Kohli after won match vs RR.\\n\\nOnly RCB...  22\n",
       "22  Last time RR vs RCB was a day game and KKR vs ...  23\n",
       "23                   RCB fans & their miserable lifes  24\n",
       "24  NRR of RCB before this game: -0.345\\n\\nNRR of ...  25\n",
       "25  Time to show this choker team their levels. Pl...  26\n",
       "26  RCB's qualification scenario explained. \\n\\n#I...  27\n",
       "27                                   RCB RCB #RCBvsRR  28\n",
       "28  CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...  29\n",
       "29  Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...  30\n",
       "30  CSK fans abusing their own players after just ...  31\n",
       "31  IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...  32\n",
       "32              RCB is still in the race of Playoffs   33\n",
       "33            RCB winning and CSK loosing in same day  34\n",
       "34  Impact sub time! \\n\\nWe need some crucial over...  35\n",
       "35  Best fanbase ever \\nRCB RCB all over the stadi...  36\n",
       "36   RCB fans going to give mangoes to Naveen Ul Haq.  37\n",
       "37  A massive win at a much needed time for RCB. T...  38\n",
       "38  What a knock by Anuj Rawat, 29* from just 11 b...  39\n",
       "39        Who got this amount of confidence on RCB ?   40\n",
       "40  Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...  41\n",
       "41  Massive win for RCB. \\n\\nCompletely madness\\n\\...  42\n",
       "42                          RCB surviving in IPL 2023  43\n",
       "43  Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....  44\n",
       "44  RCB showed will to go further. RR almost out o...  45\n",
       "45  2nd favourite team of every RCB fan from now o...  46\n",
       "46  RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...  47\n",
       "47  Glenn Maxwell the saviour once again \\n68(33) ...  48\n",
       "48  If LUCK favours, RCB can also end up at NUMBER...  49\n",
       "49  2 fixers Csk and RR lost\\nRCB won \\nWarra beau...  50"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(all_tweets,columns=['tweets'])\n",
    "#df.head()\n",
    "df=df.head(50)\n",
    "print(df.shape)\n",
    "\n",
    "#indexing \n",
    "id=np.arange(1,51)\n",
    "df['id']=id\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4c5d75a9",
   "metadata": {},
   "outputs": [
    {
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     "output_type": "stream",
     "text": [
      "71.6 ms ± 1.84 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "#%%timeit\n",
    "#result\n",
    "\n",
    "res={}\n",
    "for i,row in tqdm(df.iterrows() , total=len(df)):\n",
    "  text= row['tweets']\n",
    "  myid=row['id']\n",
    "  res[myid]=sia.polarity_scores(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e877d6a4",
   "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>id</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>compound</th>\n",
       "      <th>tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.649</td>\n",
       "      <td>0.157</td>\n",
       "      <td>-0.1260</td>\n",
       "      <td>RCB’s desperately needed an in-batter for the ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.8176</td>\n",
       "      <td>Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.219</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.5719</td>\n",
       "      <td>Scenes After RCB Won Against RR:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.659</td>\n",
       "      <td>0.341</td>\n",
       "      <td>0.4767</td>\n",
       "      <td>Anuj Rawat provided a terrific finish to RCB.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Maxi making the fielders mere spectators! \\n\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.769</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.3400</td>\n",
       "      <td>14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.7418</td>\n",
       "      <td>And that's a clean sweep of the awards for our...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Rcb to RR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.814</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.5848</td>\n",
       "      <td>Job done in ten and a half overs \\n\\npoints in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>First RCB fans\\n- Then CSK fans\\n- Now SRH fan...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.204</td>\n",
       "      <td>-0.2023</td>\n",
       "      <td>Hetmyer broke the dream of RCB fans</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.917</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.4404</td>\n",
       "      <td>After powerplay :-\\n\\nRCB was 42-0, thanks to ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Meanwhile Jos Luttler's show against RCB this ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.7845</td>\n",
       "      <td>Akash Chopra (in commentary) : \\nVirat Kohli p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.0772</td>\n",
       "      <td>No time to get ready for your meeting? Use xpr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.8934</td>\n",
       "      <td>Virat Kohli after won match vs RR.\\n\\nOnly RCB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Last time RR vs RCB was a day game and KKR vs ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.4939</td>\n",
       "      <td>RCB fans &amp; their miserable lifes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NRR of RCB before this game: -0.345\\n\\nNRR of ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.293</td>\n",
       "      <td>0.5511</td>\n",
       "      <td>Time to show this choker team their levels. Pl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB's qualification scenario explained. \\n\\n#I...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB RCB #RCBvsRR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.7003</td>\n",
       "      <td>CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.6115</td>\n",
       "      <td>Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.7579</td>\n",
       "      <td>CSK fans abusing their own players after just ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB is still in the race of Playoffs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.5267</td>\n",
       "      <td>RCB winning and CSK loosing in same day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Impact sub time! \\n\\nWe need some crucial over...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.6369</td>\n",
       "      <td>Best fanbase ever \\nRCB RCB all over the stadi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB fans going to give mangoes to Naveen Ul Haq.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.6166</td>\n",
       "      <td>A massive win at a much needed time for RCB. T...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.0258</td>\n",
       "      <td>What a knock by Anuj Rawat, 29* from just 11 b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.5106</td>\n",
       "      <td>Who got this amount of confidence on RCB ?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.179</td>\n",
       "      <td>-0.1531</td>\n",
       "      <td>Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.1548</td>\n",
       "      <td>Massive win for RCB. \\n\\nCompletely madness\\n\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>RCB surviving in IPL 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.141</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.247</td>\n",
       "      <td>0.8020</td>\n",
       "      <td>RCB showed will to go further. RR almost out o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>46</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0.173</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>2nd favourite team of every RCB fan from now o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.817</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.5859</td>\n",
       "      <td>RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>48</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>Glenn Maxwell the saviour once again \\n68(33) ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.8208</td>\n",
       "      <td>If LUCK favours, RCB can also end up at NUMBER...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>50</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.402</td>\n",
       "      <td>0.7430</td>\n",
       "      <td>2 fixers Csk and RR lost\\nRCB won \\nWarra beau...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id    neg    neu    pos  compound  \\\n",
       "0    1  0.194  0.649  0.157   -0.1260   \n",
       "1    2  0.000  1.000  0.000    0.0000   \n",
       "2    3  0.142  0.608  0.250    0.3818   \n",
       "3    4  0.000  0.667  0.333    0.8176   \n",
       "4    5  0.219  0.522  0.259    0.3818   \n",
       "5    6  0.000  0.575  0.425    0.5719   \n",
       "6    7  0.000  0.659  0.341    0.4767   \n",
       "7    8  0.000  1.000  0.000    0.0000   \n",
       "8    9  0.000  1.000  0.000    0.0000   \n",
       "9   10  0.231  0.769  0.000   -0.3400   \n",
       "10  11  0.000  1.000  0.000    0.0000   \n",
       "11  12  0.000  0.799  0.201    0.7418   \n",
       "12  13  0.000  1.000  0.000    0.0000   \n",
       "13  14  0.000  0.814  0.186    0.5848   \n",
       "14  15  0.000  1.000  0.000    0.0000   \n",
       "15  16  0.286  0.510  0.204   -0.2023   \n",
       "16  17  0.000  0.917  0.083    0.4404   \n",
       "17  18  0.000  1.000  0.000    0.0000   \n",
       "18  19  0.031  0.760  0.209    0.7845   \n",
       "19  20  0.112  0.761  0.127    0.0772   \n",
       "20  21  0.000  1.000  0.000    0.0000   \n",
       "21  22  0.000  0.662  0.338    0.8934   \n",
       "22  23  0.000  1.000  0.000    0.0000   \n",
       "23  24  0.444  0.556  0.000   -0.4939   \n",
       "24  25  0.000  1.000  0.000    0.0000   \n",
       "25  26  0.000  0.707  0.293    0.5511   \n",
       "26  27  0.000  1.000  0.000    0.0000   \n",
       "27  28  0.000  1.000  0.000    0.0000   \n",
       "28  29  0.159  0.483  0.359    0.7003   \n",
       "29  30  0.000  0.778  0.222    0.6115   \n",
       "30  31  0.333  0.667  0.000   -0.7579   \n",
       "31  32  0.000  1.000  0.000    0.0000   \n",
       "32  33  0.000  1.000  0.000    0.0000   \n",
       "33  34  0.000  0.673  0.327    0.5267   \n",
       "34  35  0.000  1.000  0.000    0.0000   \n",
       "35  36  0.000  0.682  0.318    0.6369   \n",
       "36  37  0.000  1.000  0.000    0.0000   \n",
       "37  38  0.103  0.662  0.236    0.6166   \n",
       "38  39  0.000  0.939  0.061    0.0258   \n",
       "39  40  0.000  0.680  0.320    0.5106   \n",
       "40  41  0.255  0.566  0.179   -0.1531   \n",
       "41  42  0.160  0.650  0.190    0.1548   \n",
       "42  43  0.000  0.645  0.355    0.2960   \n",
       "43  44  0.000  0.859  0.141    0.3182   \n",
       "44  45  0.000  0.753  0.247    0.8020   \n",
       "45  46  0.000  0.827  0.173    0.3182   \n",
       "46  47  0.000  0.817  0.183    0.5859   \n",
       "47  48  0.000  0.898  0.102    0.3612   \n",
       "48  49  0.000  0.562  0.438    0.8208   \n",
       "49  50  0.122  0.476  0.402    0.7430   \n",
       "\n",
       "                                               tweets  \n",
       "0   RCB’s desperately needed an in-batter for the ...  \n",
       "1   We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...  \n",
       "2   We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...  \n",
       "3   Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...  \n",
       "4   RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...  \n",
       "5                    Scenes After RCB Won Against RR:  \n",
       "6       Anuj Rawat provided a terrific finish to RCB.  \n",
       "7         Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB  \n",
       "8   Maxi making the fielders mere spectators! \\n\\n...  \n",
       "9   14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...  \n",
       "10  58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...  \n",
       "11  And that's a clean sweep of the awards for our...  \n",
       "12                                          Rcb to RR  \n",
       "13  Job done in ten and a half overs \\n\\npoints in...  \n",
       "14  First RCB fans\\n- Then CSK fans\\n- Now SRH fan...  \n",
       "15                Hetmyer broke the dream of RCB fans  \n",
       "16  After powerplay :-\\n\\nRCB was 42-0, thanks to ...  \n",
       "17  Meanwhile Jos Luttler's show against RCB this ...  \n",
       "18  Akash Chopra (in commentary) : \\nVirat Kohli p...  \n",
       "19  No time to get ready for your meeting? Use xpr...  \n",
       "20  Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...  \n",
       "21  Virat Kohli after won match vs RR.\\n\\nOnly RCB...  \n",
       "22  Last time RR vs RCB was a day game and KKR vs ...  \n",
       "23                   RCB fans & their miserable lifes  \n",
       "24  NRR of RCB before this game: -0.345\\n\\nNRR of ...  \n",
       "25  Time to show this choker team their levels. Pl...  \n",
       "26  RCB's qualification scenario explained. \\n\\n#I...  \n",
       "27                                   RCB RCB #RCBvsRR  \n",
       "28  CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...  \n",
       "29  Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...  \n",
       "30  CSK fans abusing their own players after just ...  \n",
       "31  IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...  \n",
       "32              RCB is still in the race of Playoffs   \n",
       "33            RCB winning and CSK loosing in same day  \n",
       "34  Impact sub time! \\n\\nWe need some crucial over...  \n",
       "35  Best fanbase ever \\nRCB RCB all over the stadi...  \n",
       "36   RCB fans going to give mangoes to Naveen Ul Haq.  \n",
       "37  A massive win at a much needed time for RCB. T...  \n",
       "38  What a knock by Anuj Rawat, 29* from just 11 b...  \n",
       "39        Who got this amount of confidence on RCB ?   \n",
       "40  Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...  \n",
       "41  Massive win for RCB. \\n\\nCompletely madness\\n\\...  \n",
       "42                          RCB surviving in IPL 2023  \n",
       "43  Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....  \n",
       "44  RCB showed will to go further. RR almost out o...  \n",
       "45  2nd favourite team of every RCB fan from now o...  \n",
       "46  RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...  \n",
       "47  Glenn Maxwell the saviour once again \\n68(33) ...  \n",
       "48  If LUCK favours, RCB can also end up at NUMBER...  \n",
       "49  2 fixers Csk and RR lost\\nRCB won \\nWarra beau...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vaders = pd.DataFrame(res).T\n",
    "vaders=vaders.reset_index().rename(columns={'index' : 'id'})\n",
    "vaders= vaders.merge(df,how='left')\n",
    "vaders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "13f46acf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1300x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axs = plt.subplots(1,3,figsize=(13,4))\n",
    "sns.barplot(data=vaders , x= 'compound' , y='pos' , ax=axs[0] )\n",
    "sns.barplot(data=vaders , x= 'compound' , y='neu' , ax=axs[1] )\n",
    "sns.barplot(data=vaders , x= 'compound' , y='neg' , ax=axs[2] )\n",
    "axs[0].set_title('Positive')\n",
    "axs[1].set_title('Neutral')\n",
    "axs[2].set_title('Negative')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b18b52ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "stp_words = stopwords.words('english')\n",
    "#print(stp_words)\n",
    "\n",
    "def TweetCleaning(tweet):\n",
    "    cleanTweet = re.sub(r\"@[a-zA-Z0-9]+\",\"\",tweet)\n",
    "    cleanTweet = re.sub(r\"#[a-zA-Z0-9\\s]+\",\"\",cleanTweet)\n",
    "    cleanTweet = ' '.join(word for word in cleanTweet.split() if word not in stp_words)\n",
    "    return cleanTweet\n",
    "\n",
    "df['cleanedTweets'] = df['tweets'].apply(TweetCleaning)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bb760462",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "consolidated = ' '.join(word for word in df['cleanedTweets'])\n",
    "\n",
    "wordCloud = WordCloud(width=400, height=200, random_state=20, max_font_size=119).generate(consolidated)\n",
    "\n",
    "plt.imshow(wordCloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b36420b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def segmentation(tweet):\n",
    "    if tweet >= 0.05:\n",
    "        return \"positive\"\n",
    "    if tweet <= -0.05:\n",
    "        return \"negative\"\n",
    "    else:\n",
    "        return \"neutral\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5c87492c",
   "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>id</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>compound</th>\n",
       "      <th>tweets</th>\n",
       "      <th>segmentation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.649</td>\n",
       "      <td>0.157</td>\n",
       "      <td>-0.1260</td>\n",
       "      <td>RCB’s desperately needed an in-batter for the ...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.8176</td>\n",
       "      <td>Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.219</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.5719</td>\n",
       "      <td>Scenes After RCB Won Against RR:</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.659</td>\n",
       "      <td>0.341</td>\n",
       "      <td>0.4767</td>\n",
       "      <td>Anuj Rawat provided a terrific finish to RCB.</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Maxi making the fielders mere spectators! \\n\\n...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.769</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.3400</td>\n",
       "      <td>14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.7418</td>\n",
       "      <td>And that's a clean sweep of the awards for our...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Rcb to RR</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.814</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.5848</td>\n",
       "      <td>Job done in ten and a half overs \\n\\npoints in...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>First RCB fans\\n- Then CSK fans\\n- Now SRH fan...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.204</td>\n",
       "      <td>-0.2023</td>\n",
       "      <td>Hetmyer broke the dream of RCB fans</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.917</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.4404</td>\n",
       "      <td>After powerplay :-\\n\\nRCB was 42-0, thanks to ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Meanwhile Jos Luttler's show against RCB this ...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.7845</td>\n",
       "      <td>Akash Chopra (in commentary) : \\nVirat Kohli p...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.0772</td>\n",
       "      <td>No time to get ready for your meeting? Use xpr...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.8934</td>\n",
       "      <td>Virat Kohli after won match vs RR.\\n\\nOnly RCB...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Last time RR vs RCB was a day game and KKR vs ...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.4939</td>\n",
       "      <td>RCB fans &amp; their miserable lifes</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NRR of RCB before this game: -0.345\\n\\nNRR of ...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.293</td>\n",
       "      <td>0.5511</td>\n",
       "      <td>Time to show this choker team their levels. Pl...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB's qualification scenario explained. \\n\\n#I...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB RCB #RCBvsRR</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.7003</td>\n",
       "      <td>CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.6115</td>\n",
       "      <td>Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.7579</td>\n",
       "      <td>CSK fans abusing their own players after just ...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB is still in the race of Playoffs</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.5267</td>\n",
       "      <td>RCB winning and CSK loosing in same day</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Impact sub time! \\n\\nWe need some crucial over...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.6369</td>\n",
       "      <td>Best fanbase ever \\nRCB RCB all over the stadi...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>RCB fans going to give mangoes to Naveen Ul Haq.</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.6166</td>\n",
       "      <td>A massive win at a much needed time for RCB. T...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.0258</td>\n",
       "      <td>What a knock by Anuj Rawat, 29* from just 11 b...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.5106</td>\n",
       "      <td>Who got this amount of confidence on RCB ?</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.179</td>\n",
       "      <td>-0.1531</td>\n",
       "      <td>Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.1548</td>\n",
       "      <td>Massive win for RCB. \\n\\nCompletely madness\\n\\...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>RCB surviving in IPL 2023</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.141</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.247</td>\n",
       "      <td>0.8020</td>\n",
       "      <td>RCB showed will to go further. RR almost out o...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>46</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0.173</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>2nd favourite team of every RCB fan from now o...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.817</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.5859</td>\n",
       "      <td>RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>48</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>Glenn Maxwell the saviour once again \\n68(33) ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.8208</td>\n",
       "      <td>If LUCK favours, RCB can also end up at NUMBER...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>50</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.402</td>\n",
       "      <td>0.7430</td>\n",
       "      <td>2 fixers Csk and RR lost\\nRCB won \\nWarra beau...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id    neg    neu    pos  compound  \\\n",
       "0    1  0.194  0.649  0.157   -0.1260   \n",
       "1    2  0.000  1.000  0.000    0.0000   \n",
       "2    3  0.142  0.608  0.250    0.3818   \n",
       "3    4  0.000  0.667  0.333    0.8176   \n",
       "4    5  0.219  0.522  0.259    0.3818   \n",
       "5    6  0.000  0.575  0.425    0.5719   \n",
       "6    7  0.000  0.659  0.341    0.4767   \n",
       "7    8  0.000  1.000  0.000    0.0000   \n",
       "8    9  0.000  1.000  0.000    0.0000   \n",
       "9   10  0.231  0.769  0.000   -0.3400   \n",
       "10  11  0.000  1.000  0.000    0.0000   \n",
       "11  12  0.000  0.799  0.201    0.7418   \n",
       "12  13  0.000  1.000  0.000    0.0000   \n",
       "13  14  0.000  0.814  0.186    0.5848   \n",
       "14  15  0.000  1.000  0.000    0.0000   \n",
       "15  16  0.286  0.510  0.204   -0.2023   \n",
       "16  17  0.000  0.917  0.083    0.4404   \n",
       "17  18  0.000  1.000  0.000    0.0000   \n",
       "18  19  0.031  0.760  0.209    0.7845   \n",
       "19  20  0.112  0.761  0.127    0.0772   \n",
       "20  21  0.000  1.000  0.000    0.0000   \n",
       "21  22  0.000  0.662  0.338    0.8934   \n",
       "22  23  0.000  1.000  0.000    0.0000   \n",
       "23  24  0.444  0.556  0.000   -0.4939   \n",
       "24  25  0.000  1.000  0.000    0.0000   \n",
       "25  26  0.000  0.707  0.293    0.5511   \n",
       "26  27  0.000  1.000  0.000    0.0000   \n",
       "27  28  0.000  1.000  0.000    0.0000   \n",
       "28  29  0.159  0.483  0.359    0.7003   \n",
       "29  30  0.000  0.778  0.222    0.6115   \n",
       "30  31  0.333  0.667  0.000   -0.7579   \n",
       "31  32  0.000  1.000  0.000    0.0000   \n",
       "32  33  0.000  1.000  0.000    0.0000   \n",
       "33  34  0.000  0.673  0.327    0.5267   \n",
       "34  35  0.000  1.000  0.000    0.0000   \n",
       "35  36  0.000  0.682  0.318    0.6369   \n",
       "36  37  0.000  1.000  0.000    0.0000   \n",
       "37  38  0.103  0.662  0.236    0.6166   \n",
       "38  39  0.000  0.939  0.061    0.0258   \n",
       "39  40  0.000  0.680  0.320    0.5106   \n",
       "40  41  0.255  0.566  0.179   -0.1531   \n",
       "41  42  0.160  0.650  0.190    0.1548   \n",
       "42  43  0.000  0.645  0.355    0.2960   \n",
       "43  44  0.000  0.859  0.141    0.3182   \n",
       "44  45  0.000  0.753  0.247    0.8020   \n",
       "45  46  0.000  0.827  0.173    0.3182   \n",
       "46  47  0.000  0.817  0.183    0.5859   \n",
       "47  48  0.000  0.898  0.102    0.3612   \n",
       "48  49  0.000  0.562  0.438    0.8208   \n",
       "49  50  0.122  0.476  0.402    0.7430   \n",
       "\n",
       "                                               tweets segmentation  \n",
       "0   RCB’s desperately needed an in-batter for the ...     negative  \n",
       "1   We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...      neutral  \n",
       "2   We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...     positive  \n",
       "3   Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...     positive  \n",
       "4   RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...     positive  \n",
       "5                    Scenes After RCB Won Against RR:     positive  \n",
       "6       Anuj Rawat provided a terrific finish to RCB.     positive  \n",
       "7         Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB      neutral  \n",
       "8   Maxi making the fielders mere spectators! \\n\\n...      neutral  \n",
       "9   14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...     negative  \n",
       "10  58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...      neutral  \n",
       "11  And that's a clean sweep of the awards for our...     positive  \n",
       "12                                          Rcb to RR      neutral  \n",
       "13  Job done in ten and a half overs \\n\\npoints in...     positive  \n",
       "14  First RCB fans\\n- Then CSK fans\\n- Now SRH fan...      neutral  \n",
       "15                Hetmyer broke the dream of RCB fans     negative  \n",
       "16  After powerplay :-\\n\\nRCB was 42-0, thanks to ...     positive  \n",
       "17  Meanwhile Jos Luttler's show against RCB this ...      neutral  \n",
       "18  Akash Chopra (in commentary) : \\nVirat Kohli p...     positive  \n",
       "19  No time to get ready for your meeting? Use xpr...     positive  \n",
       "20  Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...      neutral  \n",
       "21  Virat Kohli after won match vs RR.\\n\\nOnly RCB...     positive  \n",
       "22  Last time RR vs RCB was a day game and KKR vs ...      neutral  \n",
       "23                   RCB fans & their miserable lifes     negative  \n",
       "24  NRR of RCB before this game: -0.345\\n\\nNRR of ...      neutral  \n",
       "25  Time to show this choker team their levels. Pl...     positive  \n",
       "26  RCB's qualification scenario explained. \\n\\n#I...      neutral  \n",
       "27                                   RCB RCB #RCBvsRR      neutral  \n",
       "28  CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...     positive  \n",
       "29  Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...     positive  \n",
       "30  CSK fans abusing their own players after just ...     negative  \n",
       "31  IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...      neutral  \n",
       "32              RCB is still in the race of Playoffs       neutral  \n",
       "33            RCB winning and CSK loosing in same day     positive  \n",
       "34  Impact sub time! \\n\\nWe need some crucial over...      neutral  \n",
       "35  Best fanbase ever \\nRCB RCB all over the stadi...     positive  \n",
       "36   RCB fans going to give mangoes to Naveen Ul Haq.      neutral  \n",
       "37  A massive win at a much needed time for RCB. T...     positive  \n",
       "38  What a knock by Anuj Rawat, 29* from just 11 b...      neutral  \n",
       "39        Who got this amount of confidence on RCB ?      positive  \n",
       "40  Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...     negative  \n",
       "41  Massive win for RCB. \\n\\nCompletely madness\\n\\...     positive  \n",
       "42                          RCB surviving in IPL 2023     positive  \n",
       "43  Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....     positive  \n",
       "44  RCB showed will to go further. RR almost out o...     positive  \n",
       "45  2nd favourite team of every RCB fan from now o...     positive  \n",
       "46  RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...     positive  \n",
       "47  Glenn Maxwell the saviour once again \\n68(33) ...     positive  \n",
       "48  If LUCK favours, RCB can also end up at NUMBER...     positive  \n",
       "49  2 fixers Csk and RR lost\\nRCB won \\nWarra beau...     positive  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vaders['segmentation'] = vaders['compound'].apply(segmentation)\n",
    "vaders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6911a446",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='segmentation', ylabel='count'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=vaders,x='segmentation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "da0aa7b3",
   "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>resp</th>\n",
       "      <th>pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Likes</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Dislike</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NotSure</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      resp   pct\n",
       "0    Likes  54.0\n",
       "1  Dislike  12.0\n",
       "2  NotSure  34.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive = round(len(vaders[vaders.segmentation == 'positive'])/len(vaders)*100,1)\n",
    "negative = round(len(vaders[vaders.segmentation == 'negative'])/len(vaders)*100,1)\n",
    "neutral = round(len(vaders[vaders.segmentation == 'neutral'])/len(vaders)*100,1)\n",
    "\n",
    "responses = [positive, negative, neutral]\n",
    "responses\n",
    "\n",
    "response = {'resp': ['Likes', 'Dislike', 'NotSure'], 'pct':[positive, negative, neutral]}\n",
    "pd.DataFrame(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a74a88d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ROBERTA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "978c4d11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: transformers in c:\\users\\akshit\\anaconda3\\lib\\site-packages (4.24.0)\n",
      "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (0.11.4)\n",
      "Requirement already satisfied: requests in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (2.28.1)\n",
      "Requirement already satisfied: numpy>=1.17 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (1.23.5)\n",
      "Requirement already satisfied: huggingface-hub<1.0,>=0.10.0 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (0.10.1)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (22.0)\n",
      "Requirement already satisfied: regex!=2019.12.17 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (2022.7.9)\n",
      "Requirement already satisfied: filelock in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (3.9.0)\n",
      "Requirement already satisfied: tqdm>=4.27 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (4.64.1)\n",
      "Requirement already satisfied: pyyaml>=5.1 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from transformers) (6.0)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0,>=0.10.0->transformers) (4.4.0)\n",
      "Requirement already satisfied: colorama in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from tqdm>=4.27->transformers) (0.4.6)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from requests->transformers) (2022.12.7)\n",
      "Requirement already satisfied: charset-normalizer<3,>=2 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from requests->transformers) (2.0.4)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from requests->transformers) (3.4)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\akshit\\anaconda3\\lib\\site-packages (from requests->transformers) (1.26.14)\n"
     ]
    }
   ],
   "source": [
    "!pip install transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3e75fa7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import AutoTokenizer\n",
    "from transformers import AutoModelForSequenceClassification\n",
    "from scipy.special import softmax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8cb7a1b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "eg = df.iloc[0,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "03af51eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Transfer learning\n",
    "MODEL='cardiffnlp/twitter-roberta-base-sentiment'\n",
    "tokenizer=AutoTokenizer.from_pretrained(MODEL)\n",
    "model=AutoModelForSequenceClassification.from_pretrained(MODEL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2da4cf08",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'roberta_neg': 0.09693833, 'roberta_neu': 0.6989437, 'roberta_pos': 0.20411798}\n"
     ]
    }
   ],
   "source": [
    "# Roberta Model\n",
    "encoded_text=tokenizer(eg,return_tensors='pt')\n",
    "output=model(**encoded_text)\n",
    "scores=output[0][0].detach().numpy()\n",
    "scores=softmax(scores)\n",
    "scores_dict={\n",
    "    'roberta_neg':scores[0],\n",
    "    'roberta_neu':scores[1],\n",
    "    'roberta_pos':scores[2],\n",
    "}\n",
    "print(scores_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fbf0c742",
   "metadata": {},
   "outputs": [],
   "source": [
    "def polarity_scores_roberta(eg):\n",
    "  encoded_text=tokenizer(eg,return_tensors='pt')\n",
    "  output=model(**encoded_text)\n",
    "  scores=output[0][0].detach().numpy()\n",
    "  scores=softmax(scores)\n",
    "  scores_dict={\n",
    "    'roberta_neg':scores[0],\n",
    "    'roberta_neu':scores[1],\n",
    "    'roberta_pos':scores[2],\n",
    "    }\n",
    "  return scores_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a7fd9e09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "658a846e67ce46bbbf8c0713cf2e4707",
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    {
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       "model_id": "36ed0bb6903644c59d40d4f580ddd9e0",
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    {
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    {
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       "model_id": "51b9938cab2d4033802e6d8d7becaa32",
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    },
    {
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       "model_id": "38be21082f074cc889f4f83b5bc1e3d0",
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     "metadata": {},
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    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8460ba142412458b915d8d4d7395d8a5",
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     },
     "metadata": {},
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    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5fba5aa4233549e1a9751675e564a702",
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     },
     "metadata": {},
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    },
    {
     "data": {
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       "model_id": "b67b9f122c5a4cbf936934144ce7b692",
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3min 11s ± 10.4 s per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "#%%timeit\n",
    "\n",
    "res2={}\n",
    "for i,row in tqdm(df.iterrows() , total=len(df)):\n",
    "  try:\n",
    "    text= row['tweets']\n",
    "    myid=row['id']\n",
    "    vader_result=sia.polarity_scores(text)\n",
    "    vader_result_rename={}\n",
    "    for key ,value in vader_result.items():\n",
    "      vader_result_rename[f\"vader_{key}\"]=value\n",
    "    roberta_result=polarity_scores_roberta(text)\n",
    "    #combining both the dictionary\n",
    "    both={**vader_result ,**roberta_result}\n",
    "    res2[myid]=both\n",
    "  except RuntimeError :\n",
    "    print(f'Broke for id {myid}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d4f7dd97",
   "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>id</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>compound</th>\n",
       "      <th>roberta_neg</th>\n",
       "      <th>roberta_neu</th>\n",
       "      <th>roberta_pos</th>\n",
       "      <th>tweets</th>\n",
       "      <th>cleanedTweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.649</td>\n",
       "      <td>0.157</td>\n",
       "      <td>-0.1260</td>\n",
       "      <td>0.102527</td>\n",
       "      <td>0.646928</td>\n",
       "      <td>0.250545</td>\n",
       "      <td>RCB’s desperately needed an in-batter for the ...</td>\n",
       "      <td>RCB’s desperately needed in-batter last 3-5 ov...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.012738</td>\n",
       "      <td>0.677448</td>\n",
       "      <td>0.309814</td>\n",
       "      <td>We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...</td>\n",
       "      <td>We Still Race 𓃵</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.029295</td>\n",
       "      <td>0.458714</td>\n",
       "      <td>0.511991</td>\n",
       "      <td>We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...</td>\n",
       "      <td>We bye 112 run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.8176</td>\n",
       "      <td>0.045393</td>\n",
       "      <td>0.917617</td>\n",
       "      <td>0.036990</td>\n",
       "      <td>Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...</td>\n",
       "      <td>Qualifier 1 - CSK vs GT - GT Eliminator - MI v...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.219</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.039111</td>\n",
       "      <td>0.577963</td>\n",
       "      <td>0.382926</td>\n",
       "      <td>RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...</td>\n",
       "      <td>RCB Win CSK lose RCB NRR positive RR 59 All Ou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.5719</td>\n",
       "      <td>0.024411</td>\n",
       "      <td>0.917327</td>\n",
       "      <td>0.058263</td>\n",
       "      <td>Scenes After RCB Won Against RR:</td>\n",
       "      <td>Scenes After RCB Won Against RR:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.659</td>\n",
       "      <td>0.341</td>\n",
       "      <td>0.4767</td>\n",
       "      <td>0.002548</td>\n",
       "      <td>0.097172</td>\n",
       "      <td>0.900280</td>\n",
       "      <td>Anuj Rawat provided a terrific finish to RCB.</td>\n",
       "      <td>Anuj Rawat provided terrific finish RCB.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.067224</td>\n",
       "      <td>0.870935</td>\n",
       "      <td>0.061841</td>\n",
       "      <td>Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB</td>\n",
       "      <td>Whole RCB 11 one frame</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.209942</td>\n",
       "      <td>0.714831</td>\n",
       "      <td>0.075227</td>\n",
       "      <td>Maxi making the fielders mere spectators! \\n\\n...</td>\n",
       "      <td>Maxi making fielders mere spectators! What cal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.769</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.3400</td>\n",
       "      <td>0.079655</td>\n",
       "      <td>0.881498</td>\n",
       "      <td>0.038846</td>\n",
       "      <td>14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...</td>\n",
       "      <td>14th may RCB humiliated Haarhaar 59 https://tw...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.235835</td>\n",
       "      <td>0.714190</td>\n",
       "      <td>0.049975</td>\n",
       "      <td>58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...</td>\n",
       "      <td>58 - Rajasthan vs RCB (2009) 59 - Rajasthan vs...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.7418</td>\n",
       "      <td>0.001703</td>\n",
       "      <td>0.071703</td>\n",
       "      <td>0.926594</td>\n",
       "      <td>And that's a clean sweep of the awards for our...</td>\n",
       "      <td>And that's clean sweep awards boys today! Let’...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.087378</td>\n",
       "      <td>0.823056</td>\n",
       "      <td>0.089566</td>\n",
       "      <td>Rcb to RR</td>\n",
       "      <td>Rcb RR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.814</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.5848</td>\n",
       "      <td>0.004933</td>\n",
       "      <td>0.244394</td>\n",
       "      <td>0.750673</td>\n",
       "      <td>Job done in ten and a half overs \\n\\npoints in...</td>\n",
       "      <td>Job done ten half overs points bag significant...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.166789</td>\n",
       "      <td>0.764759</td>\n",
       "      <td>0.068452</td>\n",
       "      <td>First RCB fans\\n- Then CSK fans\\n- Now SRH fan...</td>\n",
       "      <td>First RCB fans - Then CSK fans - Now SRH fans ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.204</td>\n",
       "      <td>-0.2023</td>\n",
       "      <td>0.739237</td>\n",
       "      <td>0.249679</td>\n",
       "      <td>0.011084</td>\n",
       "      <td>Hetmyer broke the dream of RCB fans</td>\n",
       "      <td>Hetmyer broke dream RCB fans</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.917</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.4404</td>\n",
       "      <td>0.409848</td>\n",
       "      <td>0.529712</td>\n",
       "      <td>0.060440</td>\n",
       "      <td>After powerplay :-\\n\\nRCB was 42-0, thanks to ...</td>\n",
       "      <td>After powerplay :- RCB 42-0, thanks Kohli RR 2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.044008</td>\n",
       "      <td>0.910765</td>\n",
       "      <td>0.045227</td>\n",
       "      <td>Meanwhile Jos Luttler's show against RCB this ...</td>\n",
       "      <td>Meanwhile Jos Luttler's show RCB year</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.7845</td>\n",
       "      <td>0.055281</td>\n",
       "      <td>0.667194</td>\n",
       "      <td>0.277524</td>\n",
       "      <td>Akash Chopra (in commentary) : \\nVirat Kohli p...</td>\n",
       "      <td>Akash Chopra (in commentary) : Virat Kohli pla...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.0772</td>\n",
       "      <td>0.253488</td>\n",
       "      <td>0.664947</td>\n",
       "      <td>0.081565</td>\n",
       "      <td>No time to get ready for your meeting? Use xpr...</td>\n",
       "      <td>No time get ready meeting? Use xpression camer...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.093957</td>\n",
       "      <td>0.840807</td>\n",
       "      <td>0.065236</td>\n",
       "      <td>Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...</td>\n",
       "      <td>Anuj rawat 29* 11 balls Meanwhile RCB fans</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.8934</td>\n",
       "      <td>0.017083</td>\n",
       "      <td>0.486467</td>\n",
       "      <td>0.496451</td>\n",
       "      <td>Virat Kohli after won match vs RR.\\n\\nOnly RCB...</td>\n",
       "      <td>Virat Kohli match vs RR. Only RCB Fans, Just R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.043287</td>\n",
       "      <td>0.918491</td>\n",
       "      <td>0.038222</td>\n",
       "      <td>Last time RR vs RCB was a day game and KKR vs ...</td>\n",
       "      <td>Last time RR vs RCB day game KKR vs CSK night ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.4939</td>\n",
       "      <td>0.886586</td>\n",
       "      <td>0.106083</td>\n",
       "      <td>0.007331</td>\n",
       "      <td>RCB fans &amp; their miserable lifes</td>\n",
       "      <td>RCB fans &amp; miserable lifes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.091922</td>\n",
       "      <td>0.865792</td>\n",
       "      <td>0.042286</td>\n",
       "      <td>NRR of RCB before this game: -0.345\\n\\nNRR of ...</td>\n",
       "      <td>NRR RCB game: -0.345 NRR RCB game: +0.166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.293</td>\n",
       "      <td>0.5511</td>\n",
       "      <td>0.112973</td>\n",
       "      <td>0.593606</td>\n",
       "      <td>0.293421</td>\n",
       "      <td>Time to show this choker team their levels. Pl...</td>\n",
       "      <td>Time show choker team levels. Please disappoin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.070657</td>\n",
       "      <td>0.865488</td>\n",
       "      <td>0.063855</td>\n",
       "      <td>RCB's qualification scenario explained. \\n\\n#I...</td>\n",
       "      <td>RCB's qualification scenario explained. |</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030022</td>\n",
       "      <td>0.838977</td>\n",
       "      <td>0.131001</td>\n",
       "      <td>RCB RCB #RCBvsRR</td>\n",
       "      <td>RCB RCB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.7003</td>\n",
       "      <td>0.051493</td>\n",
       "      <td>0.274602</td>\n",
       "      <td>0.673904</td>\n",
       "      <td>CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...</td>\n",
       "      <td>CSK lost 2(3) RR lost RCB RCB still chance fin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.6115</td>\n",
       "      <td>0.024283</td>\n",
       "      <td>0.886725</td>\n",
       "      <td>0.088992</td>\n",
       "      <td>Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...</td>\n",
       "      <td>Most Wins vs CSK Chepauk 5 - MI 3 - KKR* 3 - P...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.7579</td>\n",
       "      <td>0.889956</td>\n",
       "      <td>0.103305</td>\n",
       "      <td>0.006738</td>\n",
       "      <td>CSK fans abusing their own players after just ...</td>\n",
       "      <td>CSK fans abusing players 3 bad seasons Meanwhi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.136152</td>\n",
       "      <td>0.805095</td>\n",
       "      <td>0.058753</td>\n",
       "      <td>IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...</td>\n",
       "      <td>IN 2009 RR vs RCB RR 59 In 2023 RCB vs RR RR 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.018897</td>\n",
       "      <td>0.730593</td>\n",
       "      <td>0.250510</td>\n",
       "      <td>RCB is still in the race of Playoffs</td>\n",
       "      <td>RCB still race Playoffs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.5267</td>\n",
       "      <td>0.326267</td>\n",
       "      <td>0.631037</td>\n",
       "      <td>0.042697</td>\n",
       "      <td>RCB winning and CSK loosing in same day</td>\n",
       "      <td>RCB winning CSK loosing day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.067551</td>\n",
       "      <td>0.714059</td>\n",
       "      <td>0.218390</td>\n",
       "      <td>Impact sub time! \\n\\nWe need some crucial over...</td>\n",
       "      <td>Impact sub time! We need crucial overs today M...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.6369</td>\n",
       "      <td>0.003541</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>0.914865</td>\n",
       "      <td>Best fanbase ever \\nRCB RCB all over the stadi...</td>\n",
       "      <td>Best fanbase ever RCB RCB stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.021107</td>\n",
       "      <td>0.860181</td>\n",
       "      <td>0.118712</td>\n",
       "      <td>RCB fans going to give mangoes to Naveen Ul Haq.</td>\n",
       "      <td>RCB fans going give mangoes Naveen Ul Haq.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.6166</td>\n",
       "      <td>0.004688</td>\n",
       "      <td>0.117477</td>\n",
       "      <td>0.877834</td>\n",
       "      <td>A massive win at a much needed time for RCB. T...</td>\n",
       "      <td>A massive win much needed time RCB. They defea...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.0258</td>\n",
       "      <td>0.005316</td>\n",
       "      <td>0.235398</td>\n",
       "      <td>0.759286</td>\n",
       "      <td>What a knock by Anuj Rawat, 29* from just 11 b...</td>\n",
       "      <td>What knock Anuj Rawat, 29* 11 balls helped RCB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.5106</td>\n",
       "      <td>0.276850</td>\n",
       "      <td>0.665780</td>\n",
       "      <td>0.057370</td>\n",
       "      <td>Who got this amount of confidence on RCB ?</td>\n",
       "      <td>Who got amount confidence RCB ?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.179</td>\n",
       "      <td>-0.1531</td>\n",
       "      <td>0.085351</td>\n",
       "      <td>0.600588</td>\n",
       "      <td>0.314061</td>\n",
       "      <td>Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...</td>\n",
       "      <td>Rohit Duck Kohli test knock CSK Win RCB lose M...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.1548</td>\n",
       "      <td>0.014164</td>\n",
       "      <td>0.283699</td>\n",
       "      <td>0.702137</td>\n",
       "      <td>Massive win for RCB. \\n\\nCompletely madness\\n\\...</td>\n",
       "      <td>Massive win RCB. Completely madness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>0.013583</td>\n",
       "      <td>0.783914</td>\n",
       "      <td>0.202503</td>\n",
       "      <td>RCB surviving in IPL 2023</td>\n",
       "      <td>RCB surviving IPL 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.141</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>0.108675</td>\n",
       "      <td>0.828753</td>\n",
       "      <td>0.062572</td>\n",
       "      <td>Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....</td>\n",
       "      <td>Deep inside Every RCB fan RCB now: ಏತಕೇ., ಬೊಗಸ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.247</td>\n",
       "      <td>0.8020</td>\n",
       "      <td>0.010410</td>\n",
       "      <td>0.260717</td>\n",
       "      <td>0.728873</td>\n",
       "      <td>RCB showed will to go further. RR almost out o...</td>\n",
       "      <td>RCB showed go further. RR almost tournament. M...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>46</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0.173</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>0.002695</td>\n",
       "      <td>0.172665</td>\n",
       "      <td>0.824640</td>\n",
       "      <td>2nd favourite team of every RCB fan from now o...</td>\n",
       "      <td>2nd favourite team every RCB fan onwards Sunri...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.817</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.5859</td>\n",
       "      <td>0.008372</td>\n",
       "      <td>0.285688</td>\n",
       "      <td>0.705940</td>\n",
       "      <td>RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...</td>\n",
       "      <td>RAJASTHAN ROYALS 59 ALL-OUT. RCB beat RR 112 r...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>48</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>0.194507</td>\n",
       "      <td>0.801412</td>\n",
       "      <td>Glenn Maxwell the saviour once again \\n68(33) ...</td>\n",
       "      <td>Glenn Maxwell saviour 68(33) vs MI 54(33) vs R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.8208</td>\n",
       "      <td>0.006365</td>\n",
       "      <td>0.249415</td>\n",
       "      <td>0.744221</td>\n",
       "      <td>If LUCK favours, RCB can also end up at NUMBER...</td>\n",
       "      <td>If LUCK favours, RCB also end NUMBER 1 points ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>50</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.402</td>\n",
       "      <td>0.7430</td>\n",
       "      <td>0.063326</td>\n",
       "      <td>0.345652</td>\n",
       "      <td>0.591022</td>\n",
       "      <td>2 fixers Csk and RR lost\\nRCB won \\nWarra beau...</td>\n",
       "      <td>2 fixers Csk RR lost RCB Warra beautiful day live</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id    neg    neu    pos  compound  roberta_neg  roberta_neu  roberta_pos  \\\n",
       "0    1  0.194  0.649  0.157   -0.1260     0.102527     0.646928     0.250545   \n",
       "1    2  0.000  1.000  0.000    0.0000     0.012738     0.677448     0.309814   \n",
       "2    3  0.142  0.608  0.250    0.3818     0.029295     0.458714     0.511991   \n",
       "3    4  0.000  0.667  0.333    0.8176     0.045393     0.917617     0.036990   \n",
       "4    5  0.219  0.522  0.259    0.3818     0.039111     0.577963     0.382926   \n",
       "5    6  0.000  0.575  0.425    0.5719     0.024411     0.917327     0.058263   \n",
       "6    7  0.000  0.659  0.341    0.4767     0.002548     0.097172     0.900280   \n",
       "7    8  0.000  1.000  0.000    0.0000     0.067224     0.870935     0.061841   \n",
       "8    9  0.000  1.000  0.000    0.0000     0.209942     0.714831     0.075227   \n",
       "9   10  0.231  0.769  0.000   -0.3400     0.079655     0.881498     0.038846   \n",
       "10  11  0.000  1.000  0.000    0.0000     0.235835     0.714190     0.049975   \n",
       "11  12  0.000  0.799  0.201    0.7418     0.001703     0.071703     0.926594   \n",
       "12  13  0.000  1.000  0.000    0.0000     0.087378     0.823056     0.089566   \n",
       "13  14  0.000  0.814  0.186    0.5848     0.004933     0.244394     0.750673   \n",
       "14  15  0.000  1.000  0.000    0.0000     0.166789     0.764759     0.068452   \n",
       "15  16  0.286  0.510  0.204   -0.2023     0.739237     0.249679     0.011084   \n",
       "16  17  0.000  0.917  0.083    0.4404     0.409848     0.529712     0.060440   \n",
       "17  18  0.000  1.000  0.000    0.0000     0.044008     0.910765     0.045227   \n",
       "18  19  0.031  0.760  0.209    0.7845     0.055281     0.667194     0.277524   \n",
       "19  20  0.112  0.761  0.127    0.0772     0.253488     0.664947     0.081565   \n",
       "20  21  0.000  1.000  0.000    0.0000     0.093957     0.840807     0.065236   \n",
       "21  22  0.000  0.662  0.338    0.8934     0.017083     0.486467     0.496451   \n",
       "22  23  0.000  1.000  0.000    0.0000     0.043287     0.918491     0.038222   \n",
       "23  24  0.444  0.556  0.000   -0.4939     0.886586     0.106083     0.007331   \n",
       "24  25  0.000  1.000  0.000    0.0000     0.091922     0.865792     0.042286   \n",
       "25  26  0.000  0.707  0.293    0.5511     0.112973     0.593606     0.293421   \n",
       "26  27  0.000  1.000  0.000    0.0000     0.070657     0.865488     0.063855   \n",
       "27  28  0.000  1.000  0.000    0.0000     0.030022     0.838977     0.131001   \n",
       "28  29  0.159  0.483  0.359    0.7003     0.051493     0.274602     0.673904   \n",
       "29  30  0.000  0.778  0.222    0.6115     0.024283     0.886725     0.088992   \n",
       "30  31  0.333  0.667  0.000   -0.7579     0.889956     0.103305     0.006738   \n",
       "31  32  0.000  1.000  0.000    0.0000     0.136152     0.805095     0.058753   \n",
       "32  33  0.000  1.000  0.000    0.0000     0.018897     0.730593     0.250510   \n",
       "33  34  0.000  0.673  0.327    0.5267     0.326267     0.631037     0.042697   \n",
       "34  35  0.000  1.000  0.000    0.0000     0.067551     0.714059     0.218390   \n",
       "35  36  0.000  0.682  0.318    0.6369     0.003541     0.081593     0.914865   \n",
       "36  37  0.000  1.000  0.000    0.0000     0.021107     0.860181     0.118712   \n",
       "37  38  0.103  0.662  0.236    0.6166     0.004688     0.117477     0.877834   \n",
       "38  39  0.000  0.939  0.061    0.0258     0.005316     0.235398     0.759286   \n",
       "39  40  0.000  0.680  0.320    0.5106     0.276850     0.665780     0.057370   \n",
       "40  41  0.255  0.566  0.179   -0.1531     0.085351     0.600588     0.314061   \n",
       "41  42  0.160  0.650  0.190    0.1548     0.014164     0.283699     0.702137   \n",
       "42  43  0.000  0.645  0.355    0.2960     0.013583     0.783914     0.202503   \n",
       "43  44  0.000  0.859  0.141    0.3182     0.108675     0.828753     0.062572   \n",
       "44  45  0.000  0.753  0.247    0.8020     0.010410     0.260717     0.728873   \n",
       "45  46  0.000  0.827  0.173    0.3182     0.002695     0.172665     0.824640   \n",
       "46  47  0.000  0.817  0.183    0.5859     0.008372     0.285688     0.705940   \n",
       "47  48  0.000  0.898  0.102    0.3612     0.004081     0.194507     0.801412   \n",
       "48  49  0.000  0.562  0.438    0.8208     0.006365     0.249415     0.744221   \n",
       "49  50  0.122  0.476  0.402    0.7430     0.063326     0.345652     0.591022   \n",
       "\n",
       "                                               tweets  \\\n",
       "0   RCB’s desperately needed an in-batter for the ...   \n",
       "1   We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...   \n",
       "2   We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...   \n",
       "3   Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...   \n",
       "4   RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...   \n",
       "5                    Scenes After RCB Won Against RR:   \n",
       "6       Anuj Rawat provided a terrific finish to RCB.   \n",
       "7         Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB   \n",
       "8   Maxi making the fielders mere spectators! \\n\\n...   \n",
       "9   14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...   \n",
       "10  58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...   \n",
       "11  And that's a clean sweep of the awards for our...   \n",
       "12                                          Rcb to RR   \n",
       "13  Job done in ten and a half overs \\n\\npoints in...   \n",
       "14  First RCB fans\\n- Then CSK fans\\n- Now SRH fan...   \n",
       "15                Hetmyer broke the dream of RCB fans   \n",
       "16  After powerplay :-\\n\\nRCB was 42-0, thanks to ...   \n",
       "17  Meanwhile Jos Luttler's show against RCB this ...   \n",
       "18  Akash Chopra (in commentary) : \\nVirat Kohli p...   \n",
       "19  No time to get ready for your meeting? Use xpr...   \n",
       "20  Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...   \n",
       "21  Virat Kohli after won match vs RR.\\n\\nOnly RCB...   \n",
       "22  Last time RR vs RCB was a day game and KKR vs ...   \n",
       "23                   RCB fans & their miserable lifes   \n",
       "24  NRR of RCB before this game: -0.345\\n\\nNRR of ...   \n",
       "25  Time to show this choker team their levels. Pl...   \n",
       "26  RCB's qualification scenario explained. \\n\\n#I...   \n",
       "27                                   RCB RCB #RCBvsRR   \n",
       "28  CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...   \n",
       "29  Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...   \n",
       "30  CSK fans abusing their own players after just ...   \n",
       "31  IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...   \n",
       "32              RCB is still in the race of Playoffs    \n",
       "33            RCB winning and CSK loosing in same day   \n",
       "34  Impact sub time! \\n\\nWe need some crucial over...   \n",
       "35  Best fanbase ever \\nRCB RCB all over the stadi...   \n",
       "36   RCB fans going to give mangoes to Naveen Ul Haq.   \n",
       "37  A massive win at a much needed time for RCB. T...   \n",
       "38  What a knock by Anuj Rawat, 29* from just 11 b...   \n",
       "39        Who got this amount of confidence on RCB ?    \n",
       "40  Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...   \n",
       "41  Massive win for RCB. \\n\\nCompletely madness\\n\\...   \n",
       "42                          RCB surviving in IPL 2023   \n",
       "43  Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....   \n",
       "44  RCB showed will to go further. RR almost out o...   \n",
       "45  2nd favourite team of every RCB fan from now o...   \n",
       "46  RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...   \n",
       "47  Glenn Maxwell the saviour once again \\n68(33) ...   \n",
       "48  If LUCK favours, RCB can also end up at NUMBER...   \n",
       "49  2 fixers Csk and RR lost\\nRCB won \\nWarra beau...   \n",
       "\n",
       "                                        cleanedTweets  \n",
       "0   RCB’s desperately needed in-batter last 3-5 ov...  \n",
       "1                                     We Still Race 𓃵  \n",
       "2                                      We bye 112 run  \n",
       "3   Qualifier 1 - CSK vs GT - GT Eliminator - MI v...  \n",
       "4   RCB Win CSK lose RCB NRR positive RR 59 All Ou...  \n",
       "5                    Scenes After RCB Won Against RR:  \n",
       "6            Anuj Rawat provided terrific finish RCB.  \n",
       "7                              Whole RCB 11 one frame  \n",
       "8   Maxi making fielders mere spectators! What cal...  \n",
       "9   14th may RCB humiliated Haarhaar 59 https://tw...  \n",
       "10  58 - Rajasthan vs RCB (2009) 59 - Rajasthan vs...  \n",
       "11  And that's clean sweep awards boys today! Let’...  \n",
       "12                                             Rcb RR  \n",
       "13  Job done ten half overs points bag significant...  \n",
       "14  First RCB fans - Then CSK fans - Now SRH fans ...  \n",
       "15                       Hetmyer broke dream RCB fans  \n",
       "16  After powerplay :- RCB 42-0, thanks Kohli RR 2...  \n",
       "17              Meanwhile Jos Luttler's show RCB year  \n",
       "18  Akash Chopra (in commentary) : Virat Kohli pla...  \n",
       "19  No time get ready meeting? Use xpression camer...  \n",
       "20         Anuj rawat 29* 11 balls Meanwhile RCB fans  \n",
       "21  Virat Kohli match vs RR. Only RCB Fans, Just R...  \n",
       "22  Last time RR vs RCB day game KKR vs CSK night ...  \n",
       "23                         RCB fans & miserable lifes  \n",
       "24          NRR RCB game: -0.345 NRR RCB game: +0.166  \n",
       "25  Time show choker team levels. Please disappoin...  \n",
       "26          RCB's qualification scenario explained. |  \n",
       "27                                            RCB RCB  \n",
       "28  CSK lost 2(3) RR lost RCB RCB still chance fin...  \n",
       "29  Most Wins vs CSK Chepauk 5 - MI 3 - KKR* 3 - P...  \n",
       "30  CSK fans abusing players 3 bad seasons Meanwhi...  \n",
       "31  IN 2009 RR vs RCB RR 59 In 2023 RCB vs RR RR 5...  \n",
       "32                            RCB still race Playoffs  \n",
       "33                        RCB winning CSK loosing day  \n",
       "34  Impact sub time! We need crucial overs today M...  \n",
       "35                  Best fanbase ever RCB RCB stadium  \n",
       "36         RCB fans going give mangoes Naveen Ul Haq.  \n",
       "37  A massive win much needed time RCB. They defea...  \n",
       "38  What knock Anuj Rawat, 29* 11 balls helped RCB...  \n",
       "39                    Who got amount confidence RCB ?  \n",
       "40  Rohit Duck Kohli test knock CSK Win RCB lose M...  \n",
       "41                Massive win RCB. Completely madness  \n",
       "42                             RCB surviving IPL 2023  \n",
       "43  Deep inside Every RCB fan RCB now: ಏತಕೇ., ಬೊಗಸ...  \n",
       "44  RCB showed go further. RR almost tournament. M...  \n",
       "45  2nd favourite team every RCB fan onwards Sunri...  \n",
       "46  RAJASTHAN ROYALS 59 ALL-OUT. RCB beat RR 112 r...  \n",
       "47  Glenn Maxwell saviour 68(33) vs MI 54(33) vs R...  \n",
       "48  If LUCK favours, RCB also end NUMBER 1 points ...  \n",
       "49  2 fixers Csk RR lost RCB Warra beautiful day live  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df = pd.DataFrame(res2).T\n",
    "results_df=results_df.reset_index().rename(columns={'index' : 'id'})\n",
    "results_df= results_df.merge(df,how='left',on='id')\n",
    "results_df\n",
    "\n",
    "# vaders = pd.DataFrame(res).T\n",
    "# vaders=vaders.reset_index().rename(columns={'index' : 'id'})\n",
    "# vaders= vaders.merge(df,how='left')\n",
    "# vaders\n",
    "\n",
    "# id2=np.arange(1,51)\n",
    "# results_df['id']=id2\n",
    "\n",
    "# results_df\n",
    "\n",
    "# merged_df = pd.merge(df, results_df, on='id')\n",
    "# merged_df\n",
    "\n",
    "# results_df= results_df.merge(df,how='left')\n",
    "# results_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1a367735",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'neg', 'neu', 'pos', 'compound', 'roberta_neg', 'roberta_neu',\n",
       "       'roberta_pos', 'tweets', 'cleanedTweets', 'segmentation'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df['segmentation'] = results_df['compound'].apply(segmentation)\n",
    "results_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5c2fbd82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2a5ccab3a30>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1610.88x1500 with 42 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data=results_df,\n",
    "             vars=['neg',           'neu',           'pos',\n",
    "                'roberta_neg',   'roberta_neu',   'roberta_pos'],\n",
    "             hue='segmentation',\n",
    "             palette='tab10'\n",
    "            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3927372d",
   "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>id</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>compound</th>\n",
       "      <th>roberta_neg</th>\n",
       "      <th>roberta_neu</th>\n",
       "      <th>roberta_pos</th>\n",
       "      <th>tweets</th>\n",
       "      <th>cleanedTweets</th>\n",
       "      <th>segmentation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.649</td>\n",
       "      <td>0.157</td>\n",
       "      <td>-0.1260</td>\n",
       "      <td>0.102527</td>\n",
       "      <td>0.646928</td>\n",
       "      <td>0.250545</td>\n",
       "      <td>RCB’s desperately needed an in-batter for the ...</td>\n",
       "      <td>RCB’s desperately needed in-batter last 3-5 ov...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.012738</td>\n",
       "      <td>0.677448</td>\n",
       "      <td>0.309814</td>\n",
       "      <td>We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...</td>\n",
       "      <td>We Still Race 𓃵</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.029295</td>\n",
       "      <td>0.458714</td>\n",
       "      <td>0.511991</td>\n",
       "      <td>We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...</td>\n",
       "      <td>We bye 112 run</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.8176</td>\n",
       "      <td>0.045393</td>\n",
       "      <td>0.917617</td>\n",
       "      <td>0.036990</td>\n",
       "      <td>Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...</td>\n",
       "      <td>Qualifier 1 - CSK vs GT - GT Eliminator - MI v...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.219</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.039111</td>\n",
       "      <td>0.577963</td>\n",
       "      <td>0.382926</td>\n",
       "      <td>RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...</td>\n",
       "      <td>RCB Win CSK lose RCB NRR positive RR 59 All Ou...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.5719</td>\n",
       "      <td>0.024411</td>\n",
       "      <td>0.917327</td>\n",
       "      <td>0.058263</td>\n",
       "      <td>Scenes After RCB Won Against RR:</td>\n",
       "      <td>Scenes After RCB Won Against RR:</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.659</td>\n",
       "      <td>0.341</td>\n",
       "      <td>0.4767</td>\n",
       "      <td>0.002548</td>\n",
       "      <td>0.097172</td>\n",
       "      <td>0.900280</td>\n",
       "      <td>Anuj Rawat provided a terrific finish to RCB.</td>\n",
       "      <td>Anuj Rawat provided terrific finish RCB.</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.067224</td>\n",
       "      <td>0.870935</td>\n",
       "      <td>0.061841</td>\n",
       "      <td>Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB</td>\n",
       "      <td>Whole RCB 11 one frame</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.209942</td>\n",
       "      <td>0.714831</td>\n",
       "      <td>0.075227</td>\n",
       "      <td>Maxi making the fielders mere spectators! \\n\\n...</td>\n",
       "      <td>Maxi making fielders mere spectators! What cal...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.769</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.3400</td>\n",
       "      <td>0.079655</td>\n",
       "      <td>0.881498</td>\n",
       "      <td>0.038846</td>\n",
       "      <td>14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...</td>\n",
       "      <td>14th may RCB humiliated Haarhaar 59 https://tw...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.235835</td>\n",
       "      <td>0.714190</td>\n",
       "      <td>0.049975</td>\n",
       "      <td>58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...</td>\n",
       "      <td>58 - Rajasthan vs RCB (2009) 59 - Rajasthan vs...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.7418</td>\n",
       "      <td>0.001703</td>\n",
       "      <td>0.071703</td>\n",
       "      <td>0.926594</td>\n",
       "      <td>And that's a clean sweep of the awards for our...</td>\n",
       "      <td>And that's clean sweep awards boys today! Let’...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.087378</td>\n",
       "      <td>0.823056</td>\n",
       "      <td>0.089566</td>\n",
       "      <td>Rcb to RR</td>\n",
       "      <td>Rcb RR</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.814</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.5848</td>\n",
       "      <td>0.004933</td>\n",
       "      <td>0.244394</td>\n",
       "      <td>0.750673</td>\n",
       "      <td>Job done in ten and a half overs \\n\\npoints in...</td>\n",
       "      <td>Job done ten half overs points bag significant...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.166789</td>\n",
       "      <td>0.764759</td>\n",
       "      <td>0.068452</td>\n",
       "      <td>First RCB fans\\n- Then CSK fans\\n- Now SRH fan...</td>\n",
       "      <td>First RCB fans - Then CSK fans - Now SRH fans ...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.204</td>\n",
       "      <td>-0.2023</td>\n",
       "      <td>0.739237</td>\n",
       "      <td>0.249679</td>\n",
       "      <td>0.011084</td>\n",
       "      <td>Hetmyer broke the dream of RCB fans</td>\n",
       "      <td>Hetmyer broke dream RCB fans</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.917</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.4404</td>\n",
       "      <td>0.409848</td>\n",
       "      <td>0.529712</td>\n",
       "      <td>0.060440</td>\n",
       "      <td>After powerplay :-\\n\\nRCB was 42-0, thanks to ...</td>\n",
       "      <td>After powerplay :- RCB 42-0, thanks Kohli RR 2...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.044008</td>\n",
       "      <td>0.910765</td>\n",
       "      <td>0.045227</td>\n",
       "      <td>Meanwhile Jos Luttler's show against RCB this ...</td>\n",
       "      <td>Meanwhile Jos Luttler's show RCB year</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.7845</td>\n",
       "      <td>0.055281</td>\n",
       "      <td>0.667194</td>\n",
       "      <td>0.277524</td>\n",
       "      <td>Akash Chopra (in commentary) : \\nVirat Kohli p...</td>\n",
       "      <td>Akash Chopra (in commentary) : Virat Kohli pla...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.0772</td>\n",
       "      <td>0.253488</td>\n",
       "      <td>0.664947</td>\n",
       "      <td>0.081565</td>\n",
       "      <td>No time to get ready for your meeting? Use xpr...</td>\n",
       "      <td>No time get ready meeting? Use xpression camer...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.093957</td>\n",
       "      <td>0.840807</td>\n",
       "      <td>0.065236</td>\n",
       "      <td>Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...</td>\n",
       "      <td>Anuj rawat 29* 11 balls Meanwhile RCB fans</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.8934</td>\n",
       "      <td>0.017083</td>\n",
       "      <td>0.486467</td>\n",
       "      <td>0.496451</td>\n",
       "      <td>Virat Kohli after won match vs RR.\\n\\nOnly RCB...</td>\n",
       "      <td>Virat Kohli match vs RR. Only RCB Fans, Just R...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.043287</td>\n",
       "      <td>0.918491</td>\n",
       "      <td>0.038222</td>\n",
       "      <td>Last time RR vs RCB was a day game and KKR vs ...</td>\n",
       "      <td>Last time RR vs RCB day game KKR vs CSK night ...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.4939</td>\n",
       "      <td>0.886586</td>\n",
       "      <td>0.106083</td>\n",
       "      <td>0.007331</td>\n",
       "      <td>RCB fans &amp; their miserable lifes</td>\n",
       "      <td>RCB fans &amp; miserable lifes</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.091922</td>\n",
       "      <td>0.865792</td>\n",
       "      <td>0.042286</td>\n",
       "      <td>NRR of RCB before this game: -0.345\\n\\nNRR of ...</td>\n",
       "      <td>NRR RCB game: -0.345 NRR RCB game: +0.166</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.293</td>\n",
       "      <td>0.5511</td>\n",
       "      <td>0.112973</td>\n",
       "      <td>0.593606</td>\n",
       "      <td>0.293421</td>\n",
       "      <td>Time to show this choker team their levels. Pl...</td>\n",
       "      <td>Time show choker team levels. Please disappoin...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.070657</td>\n",
       "      <td>0.865488</td>\n",
       "      <td>0.063855</td>\n",
       "      <td>RCB's qualification scenario explained. \\n\\n#I...</td>\n",
       "      <td>RCB's qualification scenario explained. |</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030022</td>\n",
       "      <td>0.838977</td>\n",
       "      <td>0.131001</td>\n",
       "      <td>RCB RCB #RCBvsRR</td>\n",
       "      <td>RCB RCB</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.7003</td>\n",
       "      <td>0.051493</td>\n",
       "      <td>0.274602</td>\n",
       "      <td>0.673904</td>\n",
       "      <td>CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...</td>\n",
       "      <td>CSK lost 2(3) RR lost RCB RCB still chance fin...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.6115</td>\n",
       "      <td>0.024283</td>\n",
       "      <td>0.886725</td>\n",
       "      <td>0.088992</td>\n",
       "      <td>Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...</td>\n",
       "      <td>Most Wins vs CSK Chepauk 5 - MI 3 - KKR* 3 - P...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.7579</td>\n",
       "      <td>0.889956</td>\n",
       "      <td>0.103305</td>\n",
       "      <td>0.006738</td>\n",
       "      <td>CSK fans abusing their own players after just ...</td>\n",
       "      <td>CSK fans abusing players 3 bad seasons Meanwhi...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.136152</td>\n",
       "      <td>0.805095</td>\n",
       "      <td>0.058753</td>\n",
       "      <td>IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...</td>\n",
       "      <td>IN 2009 RR vs RCB RR 59 In 2023 RCB vs RR RR 5...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.018897</td>\n",
       "      <td>0.730593</td>\n",
       "      <td>0.250510</td>\n",
       "      <td>RCB is still in the race of Playoffs</td>\n",
       "      <td>RCB still race Playoffs</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.5267</td>\n",
       "      <td>0.326267</td>\n",
       "      <td>0.631037</td>\n",
       "      <td>0.042697</td>\n",
       "      <td>RCB winning and CSK loosing in same day</td>\n",
       "      <td>RCB winning CSK loosing day</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.067551</td>\n",
       "      <td>0.714059</td>\n",
       "      <td>0.218390</td>\n",
       "      <td>Impact sub time! \\n\\nWe need some crucial over...</td>\n",
       "      <td>Impact sub time! We need crucial overs today M...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.6369</td>\n",
       "      <td>0.003541</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>0.914865</td>\n",
       "      <td>Best fanbase ever \\nRCB RCB all over the stadi...</td>\n",
       "      <td>Best fanbase ever RCB RCB stadium</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.021107</td>\n",
       "      <td>0.860181</td>\n",
       "      <td>0.118712</td>\n",
       "      <td>RCB fans going to give mangoes to Naveen Ul Haq.</td>\n",
       "      <td>RCB fans going give mangoes Naveen Ul Haq.</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.6166</td>\n",
       "      <td>0.004688</td>\n",
       "      <td>0.117477</td>\n",
       "      <td>0.877834</td>\n",
       "      <td>A massive win at a much needed time for RCB. T...</td>\n",
       "      <td>A massive win much needed time RCB. They defea...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.0258</td>\n",
       "      <td>0.005316</td>\n",
       "      <td>0.235398</td>\n",
       "      <td>0.759286</td>\n",
       "      <td>What a knock by Anuj Rawat, 29* from just 11 b...</td>\n",
       "      <td>What knock Anuj Rawat, 29* 11 balls helped RCB...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.5106</td>\n",
       "      <td>0.276850</td>\n",
       "      <td>0.665780</td>\n",
       "      <td>0.057370</td>\n",
       "      <td>Who got this amount of confidence on RCB ?</td>\n",
       "      <td>Who got amount confidence RCB ?</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.179</td>\n",
       "      <td>-0.1531</td>\n",
       "      <td>0.085351</td>\n",
       "      <td>0.600588</td>\n",
       "      <td>0.314061</td>\n",
       "      <td>Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...</td>\n",
       "      <td>Rohit Duck Kohli test knock CSK Win RCB lose M...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.1548</td>\n",
       "      <td>0.014164</td>\n",
       "      <td>0.283699</td>\n",
       "      <td>0.702137</td>\n",
       "      <td>Massive win for RCB. \\n\\nCompletely madness\\n\\...</td>\n",
       "      <td>Massive win RCB. Completely madness</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>0.013583</td>\n",
       "      <td>0.783914</td>\n",
       "      <td>0.202503</td>\n",
       "      <td>RCB surviving in IPL 2023</td>\n",
       "      <td>RCB surviving IPL 2023</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.141</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>0.108675</td>\n",
       "      <td>0.828753</td>\n",
       "      <td>0.062572</td>\n",
       "      <td>Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....</td>\n",
       "      <td>Deep inside Every RCB fan RCB now: ಏತಕೇ., ಬೊಗಸ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.247</td>\n",
       "      <td>0.8020</td>\n",
       "      <td>0.010410</td>\n",
       "      <td>0.260717</td>\n",
       "      <td>0.728873</td>\n",
       "      <td>RCB showed will to go further. RR almost out o...</td>\n",
       "      <td>RCB showed go further. RR almost tournament. M...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>46</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0.173</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>0.002695</td>\n",
       "      <td>0.172665</td>\n",
       "      <td>0.824640</td>\n",
       "      <td>2nd favourite team of every RCB fan from now o...</td>\n",
       "      <td>2nd favourite team every RCB fan onwards Sunri...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.817</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.5859</td>\n",
       "      <td>0.008372</td>\n",
       "      <td>0.285688</td>\n",
       "      <td>0.705940</td>\n",
       "      <td>RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...</td>\n",
       "      <td>RAJASTHAN ROYALS 59 ALL-OUT. RCB beat RR 112 r...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>48</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>0.194507</td>\n",
       "      <td>0.801412</td>\n",
       "      <td>Glenn Maxwell the saviour once again \\n68(33) ...</td>\n",
       "      <td>Glenn Maxwell saviour 68(33) vs MI 54(33) vs R...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.8208</td>\n",
       "      <td>0.006365</td>\n",
       "      <td>0.249415</td>\n",
       "      <td>0.744221</td>\n",
       "      <td>If LUCK favours, RCB can also end up at NUMBER...</td>\n",
       "      <td>If LUCK favours, RCB also end NUMBER 1 points ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>50</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.402</td>\n",
       "      <td>0.7430</td>\n",
       "      <td>0.063326</td>\n",
       "      <td>0.345652</td>\n",
       "      <td>0.591022</td>\n",
       "      <td>2 fixers Csk and RR lost\\nRCB won \\nWarra beau...</td>\n",
       "      <td>2 fixers Csk RR lost RCB Warra beautiful day live</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id    neg    neu    pos  compound  roberta_neg  roberta_neu  roberta_pos  \\\n",
       "0    1  0.194  0.649  0.157   -0.1260     0.102527     0.646928     0.250545   \n",
       "1    2  0.000  1.000  0.000    0.0000     0.012738     0.677448     0.309814   \n",
       "2    3  0.142  0.608  0.250    0.3818     0.029295     0.458714     0.511991   \n",
       "3    4  0.000  0.667  0.333    0.8176     0.045393     0.917617     0.036990   \n",
       "4    5  0.219  0.522  0.259    0.3818     0.039111     0.577963     0.382926   \n",
       "5    6  0.000  0.575  0.425    0.5719     0.024411     0.917327     0.058263   \n",
       "6    7  0.000  0.659  0.341    0.4767     0.002548     0.097172     0.900280   \n",
       "7    8  0.000  1.000  0.000    0.0000     0.067224     0.870935     0.061841   \n",
       "8    9  0.000  1.000  0.000    0.0000     0.209942     0.714831     0.075227   \n",
       "9   10  0.231  0.769  0.000   -0.3400     0.079655     0.881498     0.038846   \n",
       "10  11  0.000  1.000  0.000    0.0000     0.235835     0.714190     0.049975   \n",
       "11  12  0.000  0.799  0.201    0.7418     0.001703     0.071703     0.926594   \n",
       "12  13  0.000  1.000  0.000    0.0000     0.087378     0.823056     0.089566   \n",
       "13  14  0.000  0.814  0.186    0.5848     0.004933     0.244394     0.750673   \n",
       "14  15  0.000  1.000  0.000    0.0000     0.166789     0.764759     0.068452   \n",
       "15  16  0.286  0.510  0.204   -0.2023     0.739237     0.249679     0.011084   \n",
       "16  17  0.000  0.917  0.083    0.4404     0.409848     0.529712     0.060440   \n",
       "17  18  0.000  1.000  0.000    0.0000     0.044008     0.910765     0.045227   \n",
       "18  19  0.031  0.760  0.209    0.7845     0.055281     0.667194     0.277524   \n",
       "19  20  0.112  0.761  0.127    0.0772     0.253488     0.664947     0.081565   \n",
       "20  21  0.000  1.000  0.000    0.0000     0.093957     0.840807     0.065236   \n",
       "21  22  0.000  0.662  0.338    0.8934     0.017083     0.486467     0.496451   \n",
       "22  23  0.000  1.000  0.000    0.0000     0.043287     0.918491     0.038222   \n",
       "23  24  0.444  0.556  0.000   -0.4939     0.886586     0.106083     0.007331   \n",
       "24  25  0.000  1.000  0.000    0.0000     0.091922     0.865792     0.042286   \n",
       "25  26  0.000  0.707  0.293    0.5511     0.112973     0.593606     0.293421   \n",
       "26  27  0.000  1.000  0.000    0.0000     0.070657     0.865488     0.063855   \n",
       "27  28  0.000  1.000  0.000    0.0000     0.030022     0.838977     0.131001   \n",
       "28  29  0.159  0.483  0.359    0.7003     0.051493     0.274602     0.673904   \n",
       "29  30  0.000  0.778  0.222    0.6115     0.024283     0.886725     0.088992   \n",
       "30  31  0.333  0.667  0.000   -0.7579     0.889956     0.103305     0.006738   \n",
       "31  32  0.000  1.000  0.000    0.0000     0.136152     0.805095     0.058753   \n",
       "32  33  0.000  1.000  0.000    0.0000     0.018897     0.730593     0.250510   \n",
       "33  34  0.000  0.673  0.327    0.5267     0.326267     0.631037     0.042697   \n",
       "34  35  0.000  1.000  0.000    0.0000     0.067551     0.714059     0.218390   \n",
       "35  36  0.000  0.682  0.318    0.6369     0.003541     0.081593     0.914865   \n",
       "36  37  0.000  1.000  0.000    0.0000     0.021107     0.860181     0.118712   \n",
       "37  38  0.103  0.662  0.236    0.6166     0.004688     0.117477     0.877834   \n",
       "38  39  0.000  0.939  0.061    0.0258     0.005316     0.235398     0.759286   \n",
       "39  40  0.000  0.680  0.320    0.5106     0.276850     0.665780     0.057370   \n",
       "40  41  0.255  0.566  0.179   -0.1531     0.085351     0.600588     0.314061   \n",
       "41  42  0.160  0.650  0.190    0.1548     0.014164     0.283699     0.702137   \n",
       "42  43  0.000  0.645  0.355    0.2960     0.013583     0.783914     0.202503   \n",
       "43  44  0.000  0.859  0.141    0.3182     0.108675     0.828753     0.062572   \n",
       "44  45  0.000  0.753  0.247    0.8020     0.010410     0.260717     0.728873   \n",
       "45  46  0.000  0.827  0.173    0.3182     0.002695     0.172665     0.824640   \n",
       "46  47  0.000  0.817  0.183    0.5859     0.008372     0.285688     0.705940   \n",
       "47  48  0.000  0.898  0.102    0.3612     0.004081     0.194507     0.801412   \n",
       "48  49  0.000  0.562  0.438    0.8208     0.006365     0.249415     0.744221   \n",
       "49  50  0.122  0.476  0.402    0.7430     0.063326     0.345652     0.591022   \n",
       "\n",
       "                                               tweets  \\\n",
       "0   RCB’s desperately needed an in-batter for the ...   \n",
       "1   We are Still in the Race #RCB\\n\\n#RRvsRCB #RCB...   \n",
       "2   We won bye 112 run \\n#RCBvsRR #IPL2023\\n\\nRCB ...   \n",
       "3   Qualifier 1 - CSK vs GT - GT \\nEliminator - MI...   \n",
       "4   RCB Win\\nCSK lose\\nRCB NRR in positive\\nRR 59 ...   \n",
       "5                    Scenes After RCB Won Against RR:   \n",
       "6       Anuj Rawat provided a terrific finish to RCB.   \n",
       "7         Whole RCB 11 in one frame \\n\\n#IPL2023 #RCB   \n",
       "8   Maxi making the fielders mere spectators! \\n\\n...   \n",
       "9   14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...   \n",
       "10  58 - Rajasthan vs RCB (2009)\\n59 - Rajasthan v...   \n",
       "11  And that's a clean sweep of the awards for our...   \n",
       "12                                          Rcb to RR   \n",
       "13  Job done in ten and a half overs \\n\\npoints in...   \n",
       "14  First RCB fans\\n- Then CSK fans\\n- Now SRH fan...   \n",
       "15                Hetmyer broke the dream of RCB fans   \n",
       "16  After powerplay :-\\n\\nRCB was 42-0, thanks to ...   \n",
       "17  Meanwhile Jos Luttler's show against RCB this ...   \n",
       "18  Akash Chopra (in commentary) : \\nVirat Kohli p...   \n",
       "19  No time to get ready for your meeting? Use xpr...   \n",
       "20  Anuj rawat 29* in 11 balls\\nMeanwhile RCB fans...   \n",
       "21  Virat Kohli after won match vs RR.\\n\\nOnly RCB...   \n",
       "22  Last time RR vs RCB was a day game and KKR vs ...   \n",
       "23                   RCB fans & their miserable lifes   \n",
       "24  NRR of RCB before this game: -0.345\\n\\nNRR of ...   \n",
       "25  Time to show this choker team their levels. Pl...   \n",
       "26  RCB's qualification scenario explained. \\n\\n#I...   \n",
       "27                                   RCB RCB #RCBvsRR   \n",
       "28  CSK lost 2(3) \\nRR lost\\nRCB won\\n\\nRCB still ...   \n",
       "29  Most Wins vs CSK at Chepauk\\n\\n5 - MI\\n3 - KKR...   \n",
       "30  CSK fans abusing their own players after just ...   \n",
       "31  IN 2009 RR vs RCB  RR all out on 59\\nIn 2023 R...   \n",
       "32              RCB is still in the race of Playoffs    \n",
       "33            RCB winning and CSK loosing in same day   \n",
       "34  Impact sub time! \\n\\nWe need some crucial over...   \n",
       "35  Best fanbase ever \\nRCB RCB all over the stadi...   \n",
       "36   RCB fans going to give mangoes to Naveen Ul Haq.   \n",
       "37  A massive win at a much needed time for RCB. T...   \n",
       "38  What a knock by Anuj Rawat, 29* from just 11 b...   \n",
       "39        Who got this amount of confidence on RCB ?    \n",
       "40  Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...   \n",
       "41  Massive win for RCB. \\n\\nCompletely madness\\n\\...   \n",
       "42                          RCB surviving in IPL 2023   \n",
       "43  Deep inside Every RCB fan to RCB now:\\n\\nಏತಕೇ....   \n",
       "44  RCB showed will to go further. RR almost out o...   \n",
       "45  2nd favourite team of every RCB fan from now o...   \n",
       "46  RAJASTHAN ROYALS 59 ALL-OUT.\\n\\nRCB beat RR by...   \n",
       "47  Glenn Maxwell the saviour once again \\n68(33) ...   \n",
       "48  If LUCK favours, RCB can also end up at NUMBER...   \n",
       "49  2 fixers Csk and RR lost\\nRCB won \\nWarra beau...   \n",
       "\n",
       "                                        cleanedTweets segmentation  \n",
       "0   RCB’s desperately needed in-batter last 3-5 ov...     negative  \n",
       "1                                     We Still Race 𓃵      neutral  \n",
       "2                                      We bye 112 run     positive  \n",
       "3   Qualifier 1 - CSK vs GT - GT Eliminator - MI v...     positive  \n",
       "4   RCB Win CSK lose RCB NRR positive RR 59 All Ou...     positive  \n",
       "5                    Scenes After RCB Won Against RR:     positive  \n",
       "6            Anuj Rawat provided terrific finish RCB.     positive  \n",
       "7                              Whole RCB 11 one frame      neutral  \n",
       "8   Maxi making fielders mere spectators! What cal...      neutral  \n",
       "9   14th may RCB humiliated Haarhaar 59 https://tw...     negative  \n",
       "10  58 - Rajasthan vs RCB (2009) 59 - Rajasthan vs...      neutral  \n",
       "11  And that's clean sweep awards boys today! Let’...     positive  \n",
       "12                                             Rcb RR      neutral  \n",
       "13  Job done ten half overs points bag significant...     positive  \n",
       "14  First RCB fans - Then CSK fans - Now SRH fans ...      neutral  \n",
       "15                       Hetmyer broke dream RCB fans     negative  \n",
       "16  After powerplay :- RCB 42-0, thanks Kohli RR 2...     positive  \n",
       "17              Meanwhile Jos Luttler's show RCB year      neutral  \n",
       "18  Akash Chopra (in commentary) : Virat Kohli pla...     positive  \n",
       "19  No time get ready meeting? Use xpression camer...     positive  \n",
       "20         Anuj rawat 29* 11 balls Meanwhile RCB fans      neutral  \n",
       "21  Virat Kohli match vs RR. Only RCB Fans, Just R...     positive  \n",
       "22  Last time RR vs RCB day game KKR vs CSK night ...      neutral  \n",
       "23                         RCB fans & miserable lifes     negative  \n",
       "24          NRR RCB game: -0.345 NRR RCB game: +0.166      neutral  \n",
       "25  Time show choker team levels. Please disappoin...     positive  \n",
       "26          RCB's qualification scenario explained. |      neutral  \n",
       "27                                            RCB RCB      neutral  \n",
       "28  CSK lost 2(3) RR lost RCB RCB still chance fin...     positive  \n",
       "29  Most Wins vs CSK Chepauk 5 - MI 3 - KKR* 3 - P...     positive  \n",
       "30  CSK fans abusing players 3 bad seasons Meanwhi...     negative  \n",
       "31  IN 2009 RR vs RCB RR 59 In 2023 RCB vs RR RR 5...      neutral  \n",
       "32                            RCB still race Playoffs      neutral  \n",
       "33                        RCB winning CSK loosing day     positive  \n",
       "34  Impact sub time! We need crucial overs today M...      neutral  \n",
       "35                  Best fanbase ever RCB RCB stadium     positive  \n",
       "36         RCB fans going give mangoes Naveen Ul Haq.      neutral  \n",
       "37  A massive win much needed time RCB. They defea...     positive  \n",
       "38  What knock Anuj Rawat, 29* 11 balls helped RCB...      neutral  \n",
       "39                    Who got amount confidence RCB ?     positive  \n",
       "40  Rohit Duck Kohli test knock CSK Win RCB lose M...     negative  \n",
       "41                Massive win RCB. Completely madness     positive  \n",
       "42                             RCB surviving IPL 2023     positive  \n",
       "43  Deep inside Every RCB fan RCB now: ಏತಕೇ., ಬೊಗಸ...     positive  \n",
       "44  RCB showed go further. RR almost tournament. M...     positive  \n",
       "45  2nd favourite team every RCB fan onwards Sunri...     positive  \n",
       "46  RAJASTHAN ROYALS 59 ALL-OUT. RCB beat RR 112 r...     positive  \n",
       "47  Glenn Maxwell saviour 68(33) vs MI 54(33) vs R...     positive  \n",
       "48  If LUCK favours, RCB also end NUMBER 1 points ...     positive  \n",
       "49  2 fixers Csk RR lost RCB Warra beautiful day live     positive  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#results_df['segmentation'] = results_df['compound'].apply(segmentation)\n",
    "results_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ee6dc415",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>id</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>compound</th>\n",
       "      <th>roberta_neg</th>\n",
       "      <th>roberta_neu</th>\n",
       "      <th>roberta_pos</th>\n",
       "      <th>tweets</th>\n",
       "      <th>cleanedTweets</th>\n",
       "      <th>segmentation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.179</td>\n",
       "      <td>-0.1531</td>\n",
       "      <td>0.085351</td>\n",
       "      <td>0.600588</td>\n",
       "      <td>0.314061</td>\n",
       "      <td>Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...</td>\n",
       "      <td>Rohit Duck Kohli test knock CSK Win RCB lose M...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.649</td>\n",
       "      <td>0.157</td>\n",
       "      <td>-0.1260</td>\n",
       "      <td>0.102527</td>\n",
       "      <td>0.646928</td>\n",
       "      <td>0.250545</td>\n",
       "      <td>RCB’s desperately needed an in-batter for the ...</td>\n",
       "      <td>RCB’s desperately needed in-batter last 3-5 ov...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.769</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.3400</td>\n",
       "      <td>0.079655</td>\n",
       "      <td>0.881498</td>\n",
       "      <td>0.038846</td>\n",
       "      <td>14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...</td>\n",
       "      <td>14th may RCB humiliated Haarhaar 59 https://tw...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.204</td>\n",
       "      <td>-0.2023</td>\n",
       "      <td>0.739237</td>\n",
       "      <td>0.249679</td>\n",
       "      <td>0.011084</td>\n",
       "      <td>Hetmyer broke the dream of RCB fans</td>\n",
       "      <td>Hetmyer broke dream RCB fans</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.4939</td>\n",
       "      <td>0.886586</td>\n",
       "      <td>0.106083</td>\n",
       "      <td>0.007331</td>\n",
       "      <td>RCB fans &amp; their miserable lifes</td>\n",
       "      <td>RCB fans &amp; miserable lifes</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.7579</td>\n",
       "      <td>0.889956</td>\n",
       "      <td>0.103305</td>\n",
       "      <td>0.006738</td>\n",
       "      <td>CSK fans abusing their own players after just ...</td>\n",
       "      <td>CSK fans abusing players 3 bad seasons Meanwhi...</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id    neg    neu    pos  compound  roberta_neg  roberta_neu  roberta_pos  \\\n",
       "40  41  0.255  0.566  0.179   -0.1531     0.085351     0.600588     0.314061   \n",
       "0    1  0.194  0.649  0.157   -0.1260     0.102527     0.646928     0.250545   \n",
       "9   10  0.231  0.769  0.000   -0.3400     0.079655     0.881498     0.038846   \n",
       "15  16  0.286  0.510  0.204   -0.2023     0.739237     0.249679     0.011084   \n",
       "23  24  0.444  0.556  0.000   -0.4939     0.886586     0.106083     0.007331   \n",
       "30  31  0.333  0.667  0.000   -0.7579     0.889956     0.103305     0.006738   \n",
       "\n",
       "                                               tweets  \\\n",
       "40  Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB los...   \n",
       "0   RCB’s desperately needed an in-batter for the ...   \n",
       "9   14th may \\n\\nRCB humiliated Haarhaar \\n59 all ...   \n",
       "15                Hetmyer broke the dream of RCB fans   \n",
       "23                   RCB fans & their miserable lifes   \n",
       "30  CSK fans abusing their own players after just ...   \n",
       "\n",
       "                                        cleanedTweets segmentation  \n",
       "40  Rohit Duck Kohli test knock CSK Win RCB lose M...     negative  \n",
       "0   RCB’s desperately needed in-batter last 3-5 ov...     negative  \n",
       "9   14th may RCB humiliated Haarhaar 59 https://tw...     negative  \n",
       "15                       Hetmyer broke dream RCB fans     negative  \n",
       "23                         RCB fans & miserable lifes     negative  \n",
       "30  CSK fans abusing players 3 bad seasons Meanwhi...     negative  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#comparison between models\n",
    "results_df.query(\"segmentation=='negative'\").sort_values('roberta_pos',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1a93c477",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Rohit Duck\\nKohli test knock\\nCSK Win\\nRCB lose\\nMI lose\\n\\nWhat a day for us '"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df.query(\"segmentation=='negative'\").sort_values('roberta_pos',ascending=False)['tweets'].values[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "475ae0c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'14th may \\n\\nRCB humiliated Haarhaar \\n59 all out   https://twitter.com/76thHundredWhxn/status/1650138720836927488…'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df.query(\"segmentation=='negative'\").sort_values('roberta_pos',ascending=False)['tweets'].values[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "d834b4ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "eg3 = \"I felt energized within five minutes, but it lasted for about 45 minutes. I paid 3.99 dollars for this drink\t. I could have just drunk a cup of coffee and saved my money\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "0d01089d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'neg': 0.089, 'neu': 0.744, 'pos': 0.167, 'compound': 0.4118}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sia.polarity_scores(eg3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "061257ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'roberta_neg': 0.06505487, 'roberta_neu': 0.33961147, 'roberta_pos': 0.5953337}\n"
     ]
    }
   ],
   "source": [
    "encoded_text=tokenizer(eg3,return_tensors='pt')\n",
    "output=model(**encoded_text)\n",
    "scores=output[0][0].detach().numpy()\n",
    "scores=softmax(scores)\n",
    "scores_dict={\n",
    "    'roberta_neg':scores[0],\n",
    "    'roberta_neu':scores[1],\n",
    "    'roberta_pos':scores[2],\n",
    "}\n",
    "print(scores_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6b48f5f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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