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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas as pd\n",
    "# os.environ[\"MODIN_ENGINE\"] = \"ray\" \n",
    "# import modin.pandas as pd\n",
    "# import dask.dataframe as dd\n",
    "# import seaborn as sns\n",
    "import re\n",
    "# from wordcloud import WordCloud\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "from nltk.corpus import stopwords\n",
    "import nltk\n",
    "import warnings\n",
    "import multiprocessing\n",
    "\n",
    "# import gensim \n",
    "# nltk.download('stopwords')\n",
    "# warnings.filterwarnings('ignore')\n",
    "\n",
    "plt.style.use(['dark_background'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 781 ms\n",
      "Wall time: 7.78 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "tweets_df=pd.read_csv(r'D:\\Data\\sentiment_data.csv',encoding='latin-1',header=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataset details\n",
    "* **target**: the polarity of the tweet (0 = negative, 2 = neutral, 4 = positive)\n",
    "* **ids**: The id of the tweet ( 2087)\n",
    "* **date**: the date of the tweet (Sat May 16 23:58:44 UTC 2009)\n",
    "* **flag**: The query (lyx). If there is no query, then this value is NO_QUERY.\n",
    "* **user**: the user that tweeted (robotickilldozr)\n",
    "* **text**: the text of the tweet (Lyx is cool)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1467810369</td>\n",
       "      <td>Mon Apr 06 22:19:45 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>_TheSpecialOne_</td>\n",
       "      <td>@switchfoot http://twitpic.com/2y1zl - Awww, t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1467810672</td>\n",
       "      <td>Mon Apr 06 22:19:49 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>scotthamilton</td>\n",
       "      <td>is upset that he can't update his Facebook by ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>1467810917</td>\n",
       "      <td>Mon Apr 06 22:19:53 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>mattycus</td>\n",
       "      <td>@Kenichan I dived many times for the ball. Man...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>1467811184</td>\n",
       "      <td>Mon Apr 06 22:19:57 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>ElleCTF</td>\n",
       "      <td>my whole body feels itchy and like its on fire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1467811193</td>\n",
       "      <td>Mon Apr 06 22:19:57 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>Karoli</td>\n",
       "      <td>@nationwideclass no, it's not behaving at all....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599995</th>\n",
       "      <td>4</td>\n",
       "      <td>2193601966</td>\n",
       "      <td>Tue Jun 16 08:40:49 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>AmandaMarie1028</td>\n",
       "      <td>Just woke up. Having no school is the best fee...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599996</th>\n",
       "      <td>4</td>\n",
       "      <td>2193601969</td>\n",
       "      <td>Tue Jun 16 08:40:49 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>TheWDBoards</td>\n",
       "      <td>TheWDB.com - Very cool to hear old Walt interv...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599997</th>\n",
       "      <td>4</td>\n",
       "      <td>2193601991</td>\n",
       "      <td>Tue Jun 16 08:40:49 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>bpbabe</td>\n",
       "      <td>Are you ready for your MoJo Makeover? Ask me f...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599998</th>\n",
       "      <td>4</td>\n",
       "      <td>2193602064</td>\n",
       "      <td>Tue Jun 16 08:40:49 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>tinydiamondz</td>\n",
       "      <td>Happy 38th Birthday to my boo of alll time!!! ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599999</th>\n",
       "      <td>4</td>\n",
       "      <td>2193602129</td>\n",
       "      <td>Tue Jun 16 08:40:50 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>RyanTrevMorris</td>\n",
       "      <td>happy #charitytuesday @theNSPCC @SparksCharity...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1600000 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         0           1                             2         3  \\\n",
       "0        0  1467810369  Mon Apr 06 22:19:45 PDT 2009  NO_QUERY   \n",
       "1        0  1467810672  Mon Apr 06 22:19:49 PDT 2009  NO_QUERY   \n",
       "2        0  1467810917  Mon Apr 06 22:19:53 PDT 2009  NO_QUERY   \n",
       "3        0  1467811184  Mon Apr 06 22:19:57 PDT 2009  NO_QUERY   \n",
       "4        0  1467811193  Mon Apr 06 22:19:57 PDT 2009  NO_QUERY   \n",
       "...     ..         ...                           ...       ...   \n",
       "1599995  4  2193601966  Tue Jun 16 08:40:49 PDT 2009  NO_QUERY   \n",
       "1599996  4  2193601969  Tue Jun 16 08:40:49 PDT 2009  NO_QUERY   \n",
       "1599997  4  2193601991  Tue Jun 16 08:40:49 PDT 2009  NO_QUERY   \n",
       "1599998  4  2193602064  Tue Jun 16 08:40:49 PDT 2009  NO_QUERY   \n",
       "1599999  4  2193602129  Tue Jun 16 08:40:50 PDT 2009  NO_QUERY   \n",
       "\n",
       "                       4                                                  5  \n",
       "0        _TheSpecialOne_  @switchfoot http://twitpic.com/2y1zl - Awww, t...  \n",
       "1          scotthamilton  is upset that he can't update his Facebook by ...  \n",
       "2               mattycus  @Kenichan I dived many times for the ball. Man...  \n",
       "3                ElleCTF    my whole body feels itchy and like its on fire   \n",
       "4                 Karoli  @nationwideclass no, it's not behaving at all....  \n",
       "...                  ...                                                ...  \n",
       "1599995  AmandaMarie1028  Just woke up. Having no school is the best fee...  \n",
       "1599996      TheWDBoards  TheWDB.com - Very cool to hear old Walt interv...  \n",
       "1599997           bpbabe  Are you ready for your MoJo Makeover? Ask me f...  \n",
       "1599998     tinydiamondz  Happy 38th Birthday to my boo of alll time!!! ...  \n",
       "1599999   RyanTrevMorris  happy #charitytuesday @theNSPCC @SparksCharity...  \n",
       "\n",
       "[1600000 rows x 6 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#tweets_df=tweets_df.sample(100000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Droping unnecessary columns\n",
    "tweets_df=tweets_df.drop(tweets_df.columns[[1,2,3,4]],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets_df.columns=['target','tweet']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 4], dtype=int64)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df['target'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets_df=tweets_df.replace(4,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\envs\\myenv\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot('target',data=tweets_df.replace({0:'Negative',1:'Positive'}))\n",
    "plt.style.use(['dark_background'])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Length of tweets</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>target</th>\n",
       "      <th>tweet</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>@switchfoot http://twitpic.com/2y1zl - Awww, t...</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>is upset that he can't update his Facebook by ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>@Kenichan I dived many times for the ball. Man...</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>my whole body feels itchy and like its on fire</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>@nationwideclass no, it's not behaving at all....</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target                                              tweet  length\n",
       "0       0  @switchfoot http://twitpic.com/2y1zl - Awww, t...     115\n",
       "1       0  is upset that he can't update his Facebook by ...     111\n",
       "2       0  @Kenichan I dived many times for the ball. Man...      89\n",
       "3       0    my whole body feels itchy and like its on fire       47\n",
       "4       0  @nationwideclass no, it's not behaving at all....     111"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[\"length\"] = tweets_df[\"tweet\"].apply(len)\n",
    "tweets_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1600000\n",
       "mean          74\n",
       "std           36\n",
       "min            6\n",
       "25%           44\n",
       "50%           69\n",
       "75%          104\n",
       "max          374\n",
       "Name: length, dtype: int32"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df.describe()['length'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tweets_df[\"length\"].plot(bins = 30,kind = \"hist\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WordCloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1min 51s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "tweet=tweets_df[\"tweet\"].tolist()\n",
    "tweet=\" \".join(tweet)\n",
    "plt.imshow(WordCloud().generate(tweet))\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pre-processing the Raw Text and Getting It Ready for Machine Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleaning(tweet):\n",
    "    tweet=re.sub(r'[^a-zA-Z]',' ',tweet)\n",
    "    tweet=tweet.lower()\n",
    "    tweet=tweet.split()\n",
    "    ps=PorterStemmer()\n",
    "    tweet=[ps.stem(word) for word in tweet if word not in stopwords.words(\"english\")]\n",
    "    tweet=' '.join(tweet)\n",
    "    return tweet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shedular='processes' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1h 6min 58s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "tweets_df['transformed_tweet']=dd.from_pandas(tweets_df.tweet,\n",
    "                                npartitions=2*multiprocessing.cpu_count()).map_partitions(lambda dframe: dframe.apply(cleaning)).compute(shedular='processes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%time\n",
    "# def preprocess(text, stem=True):\n",
    "#     # Remove link,user and special characters\n",
    "#     text = re.sub(r'[^a-zA-Z]', ' ', str(text).lower()).strip()\n",
    "#     tokens = []\n",
    "#     for token in text.split():\n",
    "#         if token not in stopwords.words(\"english\"):\n",
    "#             if stem:\n",
    "#                 tokens.append(stemmer.stem(token))\n",
    "#             else:\n",
    "#                 tokens.append(token)\n",
    "#     return \" \".join(tokens)\n",
    "\n",
    "# stemmer=PorterStemmer()\n",
    "# df.tweet = tweets_df.tweet.apply(lambda x: preprocess(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets_df.to_csv(r'D:\\Data/sentiment_data_transformed.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets_df=pd.read_csv(r'D:\\Data/sentiment_data_transformed.csv',encoding='latin-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Unnamed: 0</th>\n",
       "      <th>target</th>\n",
       "      <th>tweet</th>\n",
       "      <th>length</th>\n",
       "      <th>transformed_tweet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>@switchfoot http://twitpic.com/2y1zl - Awww, t...</td>\n",
       "      <td>115</td>\n",
       "      <td>switchfoot http twitpic com zl awww bummer sho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>is upset that he can't update his Facebook by ...</td>\n",
       "      <td>111</td>\n",
       "      <td>upset updat facebook text might cri result sch...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>@Kenichan I dived many times for the ball. Man...</td>\n",
       "      <td>89</td>\n",
       "      <td>kenichan dive mani time ball manag save rest g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>my whole body feels itchy and like its on fire</td>\n",
       "      <td>47</td>\n",
       "      <td>whole bodi feel itchi like fire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>@nationwideclass no, it's not behaving at all....</td>\n",
       "      <td>111</td>\n",
       "      <td>nationwideclass behav mad see</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599995</th>\n",
       "      <td>1599995</td>\n",
       "      <td>1</td>\n",
       "      <td>Just woke up. Having no school is the best fee...</td>\n",
       "      <td>56</td>\n",
       "      <td>woke school best feel ever</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599996</th>\n",
       "      <td>1599996</td>\n",
       "      <td>1</td>\n",
       "      <td>TheWDB.com - Very cool to hear old Walt interv...</td>\n",
       "      <td>78</td>\n",
       "      <td>thewdb com cool hear old walt interview http b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599997</th>\n",
       "      <td>1599997</td>\n",
       "      <td>1</td>\n",
       "      <td>Are you ready for your MoJo Makeover? Ask me f...</td>\n",
       "      <td>57</td>\n",
       "      <td>readi mojo makeov ask detail</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599998</th>\n",
       "      <td>1599998</td>\n",
       "      <td>1</td>\n",
       "      <td>Happy 38th Birthday to my boo of alll time!!! ...</td>\n",
       "      <td>65</td>\n",
       "      <td>happi th birthday boo alll time tupac amaru sh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599999</th>\n",
       "      <td>1599999</td>\n",
       "      <td>1</td>\n",
       "      <td>happy #charitytuesday @theNSPCC @SparksCharity...</td>\n",
       "      <td>62</td>\n",
       "      <td>happi charitytuesday thenspcc sparkschar speak...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1600000 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0  target  \\\n",
       "0                 0       0   \n",
       "1                 1       0   \n",
       "2                 2       0   \n",
       "3                 3       0   \n",
       "4                 4       0   \n",
       "...             ...     ...   \n",
       "1599995     1599995       1   \n",
       "1599996     1599996       1   \n",
       "1599997     1599997       1   \n",
       "1599998     1599998       1   \n",
       "1599999     1599999       1   \n",
       "\n",
       "                                                     tweet  length  \\\n",
       "0        @switchfoot http://twitpic.com/2y1zl - Awww, t...     115   \n",
       "1        is upset that he can't update his Facebook by ...     111   \n",
       "2        @Kenichan I dived many times for the ball. Man...      89   \n",
       "3          my whole body feels itchy and like its on fire       47   \n",
       "4        @nationwideclass no, it's not behaving at all....     111   \n",
       "...                                                    ...     ...   \n",
       "1599995  Just woke up. Having no school is the best fee...      56   \n",
       "1599996  TheWDB.com - Very cool to hear old Walt interv...      78   \n",
       "1599997  Are you ready for your MoJo Makeover? Ask me f...      57   \n",
       "1599998  Happy 38th Birthday to my boo of alll time!!! ...      65   \n",
       "1599999  happy #charitytuesday @theNSPCC @SparksCharity...      62   \n",
       "\n",
       "                                         transformed_tweet  \n",
       "0        switchfoot http twitpic com zl awww bummer sho...  \n",
       "1        upset updat facebook text might cri result sch...  \n",
       "2        kenichan dive mani time ball manag save rest g...  \n",
       "3                          whole bodi feel itchi like fire  \n",
       "4                            nationwideclass behav mad see  \n",
       "...                                                    ...  \n",
       "1599995                         woke school best feel ever  \n",
       "1599996  thewdb com cool hear old walt interview http b...  \n",
       "1599997                       readi mojo makeov ask detail  \n",
       "1599998  happi th birthday boo alll time tupac amaru sh...  \n",
       "1599999  happi charitytuesday thenspcc sparkschar speak...  \n",
       "\n",
       "[1600000 rows x 5 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Unnamed: 0</th>\n",
       "      <th>target</th>\n",
       "      <th>tweet</th>\n",
       "      <th>length</th>\n",
       "      <th>transformed_tweet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3997</th>\n",
       "      <td>3997</td>\n",
       "      <td>0</td>\n",
       "      <td>what to do</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4233</th>\n",
       "      <td>4233</td>\n",
       "      <td>0</td>\n",
       "      <td>just</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18950</th>\n",
       "      <td>18950</td>\n",
       "      <td>0</td>\n",
       "      <td>up again</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19062</th>\n",
       "      <td>19062</td>\n",
       "      <td>0</td>\n",
       "      <td>I've been here</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24317</th>\n",
       "      <td>24317</td>\n",
       "      <td>0</td>\n",
       "      <td>He's not here</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1592715</th>\n",
       "      <td>1592715</td>\n",
       "      <td>1</td>\n",
       "      <td>so this it .. then</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1595775</th>\n",
       "      <td>1595775</td>\n",
       "      <td>1</td>\n",
       "      <td>here I am</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596318</th>\n",
       "      <td>1596318</td>\n",
       "      <td>1</td>\n",
       "      <td>is ON!!!!!!</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1598921</th>\n",
       "      <td>1598921</td>\n",
       "      <td>1</td>\n",
       "      <td>If only?</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599811</th>\n",
       "      <td>1599811</td>\n",
       "      <td>1</td>\n",
       "      <td>to be with you</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>495 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0  target                tweet  length transformed_tweet\n",
       "3997           3997       0          what to do       11               NaN\n",
       "4233           4233       0                just        6               NaN\n",
       "18950         18950       0            up again        9               NaN\n",
       "19062         19062       0      I've been here       15               NaN\n",
       "24317         24317       0       He's not here       14               NaN\n",
       "...             ...     ...                  ...     ...               ...\n",
       "1592715     1592715       1  so this it .. then       19               NaN\n",
       "1595775     1595775       1           here I am       10               NaN\n",
       "1596318     1596318       1         is ON!!!!!!       12               NaN\n",
       "1598921     1598921       1            If only?        9               NaN\n",
       "1599811     1599811       1      to be with you       15               NaN\n",
       "\n",
       "[495 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[tweets_df.isna().any(axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets_df.dropna(inplace =True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets_df.drop(columns=['tweet','Unnamed: 0'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1599505, 3)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#count repetition  no of each word\n",
    "token_list = [word for sentence in tweets_df['tweet'].values for word in sentence.split()]\n",
    "# Create a pandas DataFrame\n",
    "df = pd.DataFrame(token_list, columns=[\"word\"])\n",
    "\n",
    "# Group by the word and count the occurrences\n",
    "word_counts = df[\"word\"].value_counts().reset_index()\n",
    "word_counts.columns = [\"word\", \"count\"]\n",
    "\n",
    "sorted_word_counts = word_counts.sort_values(by=\"count\", ascending=False)\n",
    "\n",
    "excel_filename = \"word_counts.csv\"\n",
    "sorted_word_counts.to_csv(excel_filename, index=False)\n",
    "\n",
    "print(\"Excel file saved:\", excel_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets_df.to_csv(r'D:\\Data/sentiment_cleaned_data.csv')"
   ]
  }
 ],
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