major-project-twitter-sentiment-analysis.ipynb

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     "text": [
      "/kaggle/input/sentiment140/training.1600000.processed.noemoticon.csv\n"
     ]
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   ],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))"
   ]
  },
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   "source": [
    "df=pd.read_csv('/kaggle/input/sentiment140/training.1600000.processed.noemoticon.csv',encoding='windows-1252')\n",
    "# God knows...mujhe bas nuska pata hai to remove utf-8 error...koi character conversion related hoga"
   ]
  },
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1467810369</th>\n",
       "      <th>Mon Apr 06 22:19:45 PDT 2009</th>\n",
       "      <th>NO_QUERY</th>\n",
       "      <th>_TheSpecialOne_</th>\n",
       "      <th>@switchfoot http://twitpic.com/2y1zl - Awww, that's a bummer.  You shoulda got David Carr of Third Day to do it. ;D</th>\n",
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       "      <th>0</th>\n",
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       "      <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>1</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>2</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>3</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>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1467811372</td>\n",
       "      <td>Mon Apr 06 22:20:00 PDT 2009</td>\n",
       "      <td>NO_QUERY</td>\n",
       "      <td>joy_wolf</td>\n",
       "      <td>@Kwesidei not the whole crew</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "   0  1467810369  Mon Apr 06 22:19:45 PDT 2009  NO_QUERY _TheSpecialOne_  \\\n",
       "0  0  1467810672  Mon Apr 06 22:19:49 PDT 2009  NO_QUERY   scotthamilton   \n",
       "1  0  1467810917  Mon Apr 06 22:19:53 PDT 2009  NO_QUERY        mattycus   \n",
       "2  0  1467811184  Mon Apr 06 22:19:57 PDT 2009  NO_QUERY         ElleCTF   \n",
       "3  0  1467811193  Mon Apr 06 22:19:57 PDT 2009  NO_QUERY          Karoli   \n",
       "4  0  1467811372  Mon Apr 06 22:20:00 PDT 2009  NO_QUERY        joy_wolf   \n",
       "\n",
       "  @switchfoot http://twitpic.com/2y1zl - Awww, that's a bummer.  You shoulda got David Carr of Third Day to do it. ;D  \n",
       "0  is upset that he can't update his Facebook by ...                                                                   \n",
       "1  @Kenichan I dived many times for the ball. Man...                                                                   \n",
       "2    my whole body feels itchy and like its on fire                                                                    \n",
       "3  @nationwideclass no, it's not behaving at all....                                                                   \n",
       "4                      @Kwesidei not the whole crew                                                                    "
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   "source": [
    "df.head()"
   ]
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