model.py.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Kaggle Fake News Challenge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import the library\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>author</th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
       "      <td>Darrell Lucus</td>\n",
       "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>FLYNN: Hillary Clinton, Big Woman on Campus - ...</td>\n",
       "      <td>Daniel J. Flynn</td>\n",
       "      <td>Ever get the feeling your life circles the rou...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Why the Truth Might Get You Fired</td>\n",
       "      <td>Consortiumnews.com</td>\n",
       "      <td>Why the Truth Might Get You Fired October 29, ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>15 Civilians Killed In Single US Airstrike Hav...</td>\n",
       "      <td>Jessica Purkiss</td>\n",
       "      <td>Videos 15 Civilians Killed In Single US Airstr...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>Iranian woman jailed for fictional unpublished...</td>\n",
       "      <td>Howard Portnoy</td>\n",
       "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id                                              title              author  \\\n",
       "0   0  House Dem Aide: We Didn’t Even See Comey’s Let...       Darrell Lucus   \n",
       "1   1  FLYNN: Hillary Clinton, Big Woman on Campus - ...     Daniel J. Flynn   \n",
       "2   2                  Why the Truth Might Get You Fired  Consortiumnews.com   \n",
       "3   3  15 Civilians Killed In Single US Airstrike Hav...     Jessica Purkiss   \n",
       "4   4  Iranian woman jailed for fictional unpublished...      Howard Portnoy   \n",
       "\n",
       "                                                text  label  \n",
       "0  House Dem Aide: We Didn’t Even See Comey’s Let...      1  \n",
       "1  Ever get the feeling your life circles the rou...      0  \n",
       "2  Why the Truth Might Get You Fired October 29, ...      1  \n",
       "3  Videos 15 Civilians Killed In Single US Airstr...      1  \n",
       "4  Print \\nAn Iranian woman has been sentenced to...      1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Read the dataset into a dataframe\n",
    "df = pd.read_csv('fake-news/train.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Get only independent variables by removing the last column i.e output and storing it in x\n",
    "X = df.drop('label',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>author</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
       "      <td>Darrell Lucus</td>\n",
       "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>FLYNN: Hillary Clinton, Big Woman on Campus - ...</td>\n",
       "      <td>Daniel J. Flynn</td>\n",
       "      <td>Ever get the feeling your life circles the rou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Why the Truth Might Get You Fired</td>\n",
       "      <td>Consortiumnews.com</td>\n",
       "      <td>Why the Truth Might Get You Fired October 29, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>15 Civilians Killed In Single US Airstrike Hav...</td>\n",
       "      <td>Jessica Purkiss</td>\n",
       "      <td>Videos 15 Civilians Killed In Single US Airstr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>Iranian woman jailed for fictional unpublished...</td>\n",
       "      <td>Howard Portnoy</td>\n",
       "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id                                              title              author  \\\n",
       "0   0  House Dem Aide: We Didn’t Even See Comey’s Let...       Darrell Lucus   \n",
       "1   1  FLYNN: Hillary Clinton, Big Woman on Campus - ...     Daniel J. Flynn   \n",
       "2   2                  Why the Truth Might Get You Fired  Consortiumnews.com   \n",
       "3   3  15 Civilians Killed In Single US Airstrike Hav...     Jessica Purkiss   \n",
       "4   4  Iranian woman jailed for fictional unpublished...      Howard Portnoy   \n",
       "\n",
       "                                                text  \n",
       "0  House Dem Aide: We Didn’t Even See Comey’s Let...  \n",
       "1  Ever get the feeling your life circles the rou...  \n",
       "2  Why the Truth Might Get You Fired October 29, ...  \n",
       "3  Videos 15 Civilians Killed In Single US Airstr...  \n",
       "4  Print \\nAn Iranian woman has been sentenced to...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now get the dependent feature and store it in y\n",
    "y = df['label']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    0\n",
       "2    1\n",
       "3    1\n",
       "4    1\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop all the nan values form the dataset\n",
    "df=df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>FLYNN: Hillary Clinton, Big Woman on Campus - ...</td>\n",
       "      <td>Daniel J. Flynn</td>\n",
       "      <td>Ever get the feeling your life circles the rou...</td>\n",
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       "      <td>2</td>\n",
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       "      <td>Why the Truth Might Get You Fired</td>\n",
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       "      <td>15 Civilians Killed In Single US Airstrike Hav...</td>\n",
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       "      <td>Videos 15 Civilians Killed In Single US Airstr...</td>\n",
       "      <td>1</td>\n",
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       "      <td>Iranian woman jailed for fictional unpublished...</td>\n",
       "      <td>Howard Portnoy</td>\n",
       "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>Jackie Mason: Hollywood Would Love Trump if He...</td>\n",
       "      <td>Daniel Nussbaum</td>\n",
       "      <td>In these trying times, Jackie Mason is the Voi...</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>Benoît Hamon Wins French Socialist Party’s Pre...</td>\n",
       "      <td>Alissa J. Rubin</td>\n",
       "      <td>PARIS  —   France chose an idealistic, traditi...</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>A Back-Channel Plan for Ukraine and Russia, Co...</td>\n",
       "      <td>Megan Twohey and Scott Shane</td>\n",
       "      <td>A week before Michael T. Flynn resigned as nat...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Obama’s Organizing for Action Partners with So...</td>\n",
       "      <td>Aaron Klein</td>\n",
       "      <td>Organizing for Action, the activist group that...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...</td>\n",
       "      <td>Chris Tomlinson</td>\n",
       "      <td>The BBC produced spoof on the “Real Housewives...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id                                              title  \\\n",
       "0    0  House Dem Aide: We Didn’t Even See Comey’s Let...   \n",
       "1    1  FLYNN: Hillary Clinton, Big Woman on Campus - ...   \n",
       "2    2                  Why the Truth Might Get You Fired   \n",
       "3    3  15 Civilians Killed In Single US Airstrike Hav...   \n",
       "4    4  Iranian woman jailed for fictional unpublished...   \n",
       "5    5  Jackie Mason: Hollywood Would Love Trump if He...   \n",
       "7    7  Benoît Hamon Wins French Socialist Party’s Pre...   \n",
       "9    9  A Back-Channel Plan for Ukraine and Russia, Co...   \n",
       "10  10  Obama’s Organizing for Action Partners with So...   \n",
       "11  11  BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...   \n",
       "\n",
       "                          author  \\\n",
       "0                  Darrell Lucus   \n",
       "1                Daniel J. Flynn   \n",
       "2             Consortiumnews.com   \n",
       "3                Jessica Purkiss   \n",
       "4                 Howard Portnoy   \n",
       "5                Daniel Nussbaum   \n",
       "7                Alissa J. Rubin   \n",
       "9   Megan Twohey and Scott Shane   \n",
       "10                   Aaron Klein   \n",
       "11               Chris Tomlinson   \n",
       "\n",
       "                                                 text  label  \n",
       "0   House Dem Aide: We Didn’t Even See Comey’s Let...      1  \n",
       "1   Ever get the feeling your life circles the rou...      0  \n",
       "2   Why the Truth Might Get You Fired October 29, ...      1  \n",
       "3   Videos 15 Civilians Killed In Single US Airstr...      1  \n",
       "4   Print \\nAn Iranian woman has been sentenced to...      1  \n",
       "5   In these trying times, Jackie Mason is the Voi...      0  \n",
       "7   PARIS  —   France chose an idealistic, traditi...      0  \n",
       "9   A week before Michael T. Flynn resigned as nat...      0  \n",
       "10  Organizing for Action, the activist group that...      0  \n",
       "11  The BBC produced spoof on the “Real Housewives...      0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "messages=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Resetting the index in order\n",
    "messages.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
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       "      <td>4</td>\n",
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       "      <td>Iranian woman jailed for fictional unpublished...</td>\n",
       "      <td>Howard Portnoy</td>\n",
       "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>Jackie Mason: Hollywood Would Love Trump if He...</td>\n",
       "      <td>Daniel Nussbaum</td>\n",
       "      <td>In these trying times, Jackie Mason is the Voi...</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>Benoît Hamon Wins French Socialist Party’s Pre...</td>\n",
       "      <td>Alissa J. Rubin</td>\n",
       "      <td>PARIS  —   France chose an idealistic, traditi...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>A Back-Channel Plan for Ukraine and Russia, Co...</td>\n",
       "      <td>Megan Twohey and Scott Shane</td>\n",
       "      <td>A week before Michael T. Flynn resigned as nat...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Obama’s Organizing for Action Partners with So...</td>\n",
       "      <td>Aaron Klein</td>\n",
       "      <td>Organizing for Action, the activist group that...</td>\n",
       "      <td>0</td>\n",
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       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...</td>\n",
       "      <td>Chris Tomlinson</td>\n",
       "      <td>The BBC produced spoof on the “Real Housewives...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  id                                              title  \\\n",
       "0      0   0  House Dem Aide: We Didn’t Even See Comey’s Let...   \n",
       "1      1   1  FLYNN: Hillary Clinton, Big Woman on Campus - ...   \n",
       "2      2   2                  Why the Truth Might Get You Fired   \n",
       "3      3   3  15 Civilians Killed In Single US Airstrike Hav...   \n",
       "4      4   4  Iranian woman jailed for fictional unpublished...   \n",
       "5      5   5  Jackie Mason: Hollywood Would Love Trump if He...   \n",
       "6      7   7  Benoît Hamon Wins French Socialist Party’s Pre...   \n",
       "7      9   9  A Back-Channel Plan for Ukraine and Russia, Co...   \n",
       "8     10  10  Obama’s Organizing for Action Partners with So...   \n",
       "9     11  11  BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...   \n",
       "\n",
       "                         author  \\\n",
       "0                 Darrell Lucus   \n",
       "1               Daniel J. Flynn   \n",
       "2            Consortiumnews.com   \n",
       "3               Jessica Purkiss   \n",
       "4                Howard Portnoy   \n",
       "5               Daniel Nussbaum   \n",
       "6               Alissa J. Rubin   \n",
       "7  Megan Twohey and Scott Shane   \n",
       "8                   Aaron Klein   \n",
       "9               Chris Tomlinson   \n",
       "\n",
       "                                                text  label  \n",
       "0  House Dem Aide: We Didn’t Even See Comey’s Let...      1  \n",
       "1  Ever get the feeling your life circles the rou...      0  \n",
       "2  Why the Truth Might Get You Fired October 29, ...      1  \n",
       "3  Videos 15 Civilians Killed In Single US Airstr...      1  \n",
       "4  Print \\nAn Iranian woman has been sentenced to...      1  \n",
       "5  In these trying times, Jackie Mason is the Voi...      0  \n",
       "6  PARIS  —   France chose an idealistic, traditi...      0  \n",
       "7  A week before Michael T. Flynn resigned as nat...      0  \n",
       "8  Organizing for Action, the activist group that...      0  \n",
       "9  The BBC produced spoof on the “Real Housewives...      0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "messages.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Data Preprocessing\n",
    "import re\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "ps = PorterStemmer()\n",
    "corpus = []\n",
    "for i in range(0, len(messages)):\n",
    "    review = re.sub('[^a-zA-Z]', ' ', messages['title'][i])\n",
    "    review = review.lower()\n",
    "    review = review.split()\n",
    "    \n",
    "    review = [ps.stem(word) for word in review if not word in stopwords.words('english')]\n",
    "    review = ' '.join(review)\n",
    "    corpus.append(review)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "russian research discov secret nazi militari base treasur hunter arctic photo\n"
     ]
    }
   ],
   "source": [
    "print(corpus[10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating the Bag of Words model\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "cv = CountVectorizer(max_features=5000,ngram_range=(1,3))\n",
    "X = cv.fit_transform(corpus).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(18285, 5000)\n"
     ]
    }
   ],
   "source": [
    "print(X.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = messages['label']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['abandon',\n",
       " 'abc',\n",
       " 'abc news',\n",
       " 'abduct',\n",
       " 'abe',\n",
       " 'abedin',\n",
       " 'abl',\n",
       " 'abort',\n",
       " 'abroad',\n",
       " 'absolut',\n",
       " 'abstain',\n",
       " 'absurd',\n",
       " 'abus',\n",
       " 'abus new',\n",
       " 'abus new york',\n",
       " 'academi',\n",
       " 'accept',\n",
       " 'access',\n",
       " 'access pipelin',\n",
       " 'access pipelin protest']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Print all the feature(column) names\n",
    "cv.get_feature_names()[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'analyzer': 'word',\n",
       " 'binary': False,\n",
       " 'decode_error': 'strict',\n",
       " 'dtype': numpy.int64,\n",
       " 'encoding': 'utf-8',\n",
       " 'input': 'content',\n",
       " 'lowercase': True,\n",
       " 'max_df': 1.0,\n",
       " 'max_features': 5000,\n",
       " 'min_df': 1,\n",
       " 'ngram_range': (1, 3),\n",
       " 'preprocessor': None,\n",
       " 'stop_words': None,\n",
       " 'strip_accents': None,\n",
       " 'token_pattern': '(?u)\\\\b\\\\w\\\\w+\\\\b',\n",
       " 'tokenizer': None,\n",
       " 'vocabulary': None}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Print all the paramters of the countVectorizer\n",
    "cv.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Splitting the dataset\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size = 0.33,random_state = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "count_df = pd.DataFrame(X_train, columns=cv.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>abandon</th>\n",
       "      <th>abc</th>\n",
       "      <th>abc news</th>\n",
       "      <th>abduct</th>\n",
       "      <th>abe</th>\n",
       "      <th>abedin</th>\n",
       "      <th>abl</th>\n",
       "      <th>abort</th>\n",
       "      <th>abroad</th>\n",
       "      <th>absolut</th>\n",
       "      <th>...</th>\n",
       "      <th>zero</th>\n",
       "      <th>zika</th>\n",
       "      <th>zika viru</th>\n",
       "      <th>zionist</th>\n",
       "      <th>zone</th>\n",
       "      <th>zone new</th>\n",
       "      <th>zone new york</th>\n",
       "      <th>zoo</th>\n",
       "      <th>zu</th>\n",
       "      <th>zuckerberg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 5000 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   abandon  abc  abc news  abduct  abe  abedin  abl  abort  abroad  absolut  \\\n",
       "0        0    0         0       0    0       0    0      0       0        0   \n",
       "1        0    0         0       0    0       0    0      0       0        0   \n",
       "2        0    0         0       0    0       0    0      0       0        0   \n",
       "3        0    0         0       0    0       0    0      0       0        0   \n",
       "4        0    0         0       0    0       0    0      0       0        1   \n",
       "\n",
       "   ...  zero  zika  zika viru  zionist  zone  zone new  zone new york  zoo  \\\n",
       "0  ...     0     0          0        0     0         0              0    0   \n",
       "1  ...     0     0          0        0     0         0              0    0   \n",
       "2  ...     0     0          0        0     0         0              0    0   \n",
       "3  ...     0     0          0        0     0         0              0    0   \n",
       "4  ...     0     0          0        0     0         0              0    0   \n",
       "\n",
       "   zu  zuckerberg  \n",
       "0   0           0  \n",
       "1   0           0  \n",
       "2   0           0  \n",
       "3   0           0  \n",
       "4   0           0  \n",
       "\n",
       "[5 rows x 5000 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import the library for data visualization\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(cm, classes,\n",
    "                          normalize=False,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    See full source and example: \n",
    "    http://scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html\n",
    "    \n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "        print(\"Normalized confusion matrix\")\n",
    "    else:\n",
    "        print('Confusion matrix, without normalization')\n",
    "\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, cm[i, j],\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MULTINOMAIL NAIVE BAYES CLASSIFIER"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import itertools\n",
    "from sklearn.metrics import confusion_matrix,accuracy_score\n",
    "from sklearn.naive_bayes import MultinomialNB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy:   0.902\n",
      "Confusion matrix, without normalization\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Train the model\n",
    "classifier = MultinomialNB()\n",
    "classifier.fit(X_train, y_train)\n",
    "pred = classifier.predict(X_test)\n",
    "score = accuracy_score(y_test, pred)\n",
    "print(\"accuracy:   %0.3f\" % score)\n",
    "cm = confusion_matrix(y_test, pred)\n",
    "plot_confusion_matrix(cm, classes=['FAKE', 'REAL'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multinomial Classifier with Hyperparameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "classifier=MultinomialNB(alpha=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Nihith\\Anaconda3\\lib\\site-packages\\sklearn\\naive_bayes.py:485: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10\n",
      "  'setting alpha = %.1e' % _ALPHA_MIN)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alpha: 0.0, Score : 0.8903065451532726\n",
      "Alpha: 0.1, Score : 0.9020712510356255\n",
      "Alpha: 0.2, Score : 0.9025683512841757\n",
      "Alpha: 0.30000000000000004, Score : 0.9024026512013256\n",
      "Alpha: 0.4, Score : 0.9017398508699255\n",
      "Alpha: 0.5, Score : 0.9015741507870754\n",
      "Alpha: 0.6000000000000001, Score : 0.9022369511184756\n",
      "Alpha: 0.7000000000000001, Score : 0.9025683512841757\n",
      "Alpha: 0.8, Score : 0.9015741507870754\n",
      "Alpha: 0.9, Score : 0.9017398508699255\n"
     ]
    }
   ],
   "source": [
    "previous_score=0\n",
    "for alpha in np.arange(0,1,0.1):\n",
    "    sub_classifier=MultinomialNB(alpha=alpha)\n",
    "    sub_classifier.fit(X_train,y_train)\n",
    "    y_pred = sub_classifier.predict(X_test)\n",
    "    score = accuracy_score(y_test, y_pred)\n",
    "    if score>previous_score:\n",
    "        classifier=sub_classifier\n",
    "    print(\"Alpha: {}, Score : {}\".format(alpha,score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ -9.10038883,  -8.62276128,  -9.10038883, ..., -10.79498456,\n",
       "        -8.91467169,  -9.32864749])"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Print all teh coefficents of the model\n",
    "classifier.coef_[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get Features names\n",
    "feature_names = cv.get_feature_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(-10.794984555596727, 'abe'),\n",
       " (-10.794984555596727, 'abroad'),\n",
       " (-10.794984555596727, 'abus new'),\n",
       " (-10.794984555596727, 'abus new york'),\n",
       " (-10.794984555596727, 'act new'),\n",
       " (-10.794984555596727, 'act new york'),\n",
       " (-10.794984555596727, 'advic'),\n",
       " (-10.794984555596727, 'advis new'),\n",
       " (-10.794984555596727, 'advis new york'),\n",
       " (-10.794984555596727, 'age new'),\n",
       " (-10.794984555596727, 'age new york'),\n",
       " (-10.794984555596727, 'agenda breitbart'),\n",
       " (-10.794984555596727, 'ail'),\n",
       " (-10.794984555596727, 'aleppo new'),\n",
       " (-10.794984555596727, 'aleppo new york'),\n",
       " (-10.794984555596727, 'ali'),\n",
       " (-10.794984555596727, 'america breitbart'),\n",
       " (-10.794984555596727, 'america new york'),\n",
       " (-10.794984555596727, 'american breitbart'),\n",
       " (-10.794984555596727, 'american new'),\n",
       " (-10.794984555596727, 'american new york'),\n",
       " (-10.794984555596727, 'ami'),\n",
       " (-10.794984555596727, 'ami schumer'),\n",
       " (-10.794984555596727, 'amp'),\n",
       " (-10.794984555596727, 'ann'),\n",
       " (-10.794984555596727, 'ann coulter'),\n",
       " (-10.794984555596727, 'applaud'),\n",
       " (-10.794984555596727, 'arson'),\n",
       " (-10.794984555596727, 'asian'),\n",
       " (-10.794984555596727, 'assail'),\n",
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       " (-10.794984555596727, 'attack breitbart'),\n",
       " (-10.794984555596727, 'attack new'),\n",
       " (-10.794984555596727, 'attack new york'),\n",
       " (-10.794984555596727, 'attack syria'),\n",
       " (-10.794984555596727, 'attend'),\n",
       " (-10.794984555596727, 'avert'),\n",
       " (-10.794984555596727, 'away new'),\n",
       " (-10.794984555596727, 'away new york'),\n",
       " (-10.794984555596727, 'back new'),\n",
       " (-10.794984555596727, 'back new york'),\n",
       " (-10.794984555596727, 'baltimor'),\n",
       " (-10.794984555596727, 'ban breitbart'),\n",
       " (-10.794984555596727, 'ban new'),\n",
       " (-10.794984555596727, 'ban new york'),\n",
       " (-10.794984555596727, 'bangladesh'),\n",
       " (-10.794984555596727, 'barron trump'),\n",
       " (-10.794984555596727, 'basic'),\n",
       " (-10.794984555596727, 'basketbal'),\n",
       " (-10.794984555596727, 'basketbal player'),\n",
       " (-10.794984555596727, 'baton'),\n",
       " (-10.794984555596727, 'baton roug'),\n",
       " (-10.794984555596727, 'battl new'),\n",
       " (-10.794984555596727, 'battl new york'),\n",
       " (-10.794984555596727, 'bay'),\n",
       " (-10.794984555596727, 'beach new'),\n",
       " (-10.794984555596727, 'beach new york'),\n",
       " (-10.794984555596727, 'begin new'),\n",
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       " (-10.794984555596727, 'behind trump'),\n",
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       " (-10.794984555596727, 'bill reilli'),\n",
       " (-10.794984555596727, 'billi'),\n",
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       " (-10.794984555596727, 'blue state blue'),\n",
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       " (-10.794984555596727, 'border patrol'),\n",
       " (-10.794984555596727, 'border patrol agent'),\n",
       " (-10.794984555596727, 'border state'),\n",
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       " (-10.794984555596727, 'border wall breitbart'),\n",
       " (-10.794984555596727, 'bowl'),\n",
       " (-10.794984555596727, 'box offic'),\n",
       " (-10.794984555596727, 'bradi'),\n",
       " (-10.794984555596727, 'breath'),\n",
       " (-10.794984555596727, 'breitbart news daili'),\n",
       " (-10.794984555596727, 'brief new'),\n",
       " (-10.794984555596727, 'brief new york'),\n",
       " (-10.794984555596727, 'broadway'),\n",
       " (-10.794984555596727, 'bronx'),\n",
       " (-10.794984555596727, 'brooklyn'),\n",
       " (-10.794984555596727, 'brooklyn new'),\n",
       " (-10.794984555596727, 'brooklyn new york'),\n",
       " (-10.794984555596727, 'bureaucrat'),\n",
       " (-10.794984555596727, 'caitlyn'),\n",
       " (-10.794984555596727, 'caitlyn jenner'),\n",
       " (-10.794984555596727, 'cal'),\n",
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       " (-10.794984555596727, 'calm'),\n",
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       " (-10.794984555596727, 'car new york'),\n",
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       " (-10.794984555596727, 'championship new'),\n",
       " (-10.794984555596727, 'championship new york'),\n",
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       " (-10.794984555596727, 'chang new york'),\n",
       " (-10.794984555596727, 'charg new york'),\n",
       " (-10.794984555596727, 'charleston'),\n",
       " (-10.794984555596727, 'charlott'),\n",
       " (-10.794984555596727, 'cher'),\n",
       " (-10.794984555596727, 'chief new'),\n",
       " (-10.794984555596727, 'chief new york'),\n",
       " (-10.794984555596727, 'china new york'),\n",
       " (-10.794984555596727, 'chri christi'),\n",
       " (-10.794984555596727, 'christi'),\n",
       " (-10.794984555596727, 'christoph'),\n",
       " (-10.794984555596727, 'chuck'),\n",
       " (-10.794984555596727, 'chuck todd'),\n",
       " (-10.794984555596727, 'circuit'),\n",
       " (-10.794984555596727, 'citi new'),\n",
       " (-10.794984555596727, 'citi new york'),\n",
       " (-10.794984555596727, 'citizenship'),\n",
       " (-10.794984555596727, 'clinton new york'),\n",
       " (-10.794984555596727, 'clue'),\n",
       " (-10.794984555596727, 'coach'),\n",
       " (-10.794984555596727, 'colleg new'),\n",
       " (-10.794984555596727, 'colleg new york'),\n",
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       " (-10.794984555596727, 'collin'),\n",
       " (-10.794984555596727, 'comedi'),\n",
       " (-10.794984555596727, 'comedi central'),\n",
       " (-10.794984555596727, 'comey fire'),\n",
       " (-10.794984555596727, 'commission'),\n",
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       " (-10.794984555596727, 'common ground'),\n",
       " (-10.794984555596727, 'compet'),\n",
       " (-10.794984555596727, 'complex'),\n",
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       " (-10.794984555596727, 'convent new york'),\n",
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       " (-10.794984555596727, 'curb'),\n",
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       " (-10.794984555596727, 'day parad'),\n",
       " (-10.794984555596727, 'dead new'),\n",
       " (-10.794984555596727, 'dead new york'),\n",
       " (-10.794984555596727, 'deal breitbart'),\n",
       " (-10.794984555596727, 'deal new'),\n",
       " (-10.794984555596727, 'deal new york'),\n",
       " (-10.794984555596727, 'death new'),\n",
       " (-10.794984555596727, 'death new york'),\n",
       " (-10.794984555596727, 'debat new'),\n",
       " (-10.794984555596727, 'debat new york'),\n",
       " (-10.794984555596727, 'debbi reynold'),\n",
       " (-10.794984555596727, 'defi'),\n",
       " (-10.794984555596727, 'defund'),\n",
       " (-10.794984555596727, 'delingpol'),\n",
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       " (-10.794984555596727, 'die new'),\n",
       " (-10.794984555596727, 'die new york'),\n",
       " (-10.794984555596727, 'diego'),\n",
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       " (-10.794984555596727, 'drug new'),\n",
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       " (-10.794984555596727, 'eas'),\n",
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       " (-10.794984555596727, 'economi new'),\n",
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       " (-10.794984555596727, 'elect breitbart'),\n",
       " (-10.794984555596727, 'elect loss'),\n",
       " (-10.794984555596727, 'elect new york'),\n",
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       " (-10.794984555596727, 'embassi jerusalem'),\n",
       " (-10.794984555596727, 'emmi'),\n",
       " (-10.794984555596727, 'end new'),\n",
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       " (-10.794984555596727, 'england patriot'),\n",
       " (-10.794984555596727, 'epa'),\n",
       " (-10.794984555596727, 'era new'),\n",
       " (-10.794984555596727, 'era new york'),\n",
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       " (-10.794984555596727, 'european union'),\n",
       " (-10.794984555596727, 'even brief'),\n",
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       " (-10.794984555596727, 'fake news new'),\n",
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       " (-10.794984555596727, 'fieri'),\n",
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       " (-10.794984555596727, 'fisher'),\n",
       " (-10.794984555596727, 'fitton'),\n",
       " (-10.794984555596727, 'flight new'),\n",
       " (-10.794984555596727, 'flight new york'),\n",
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       " (-10.794984555596727, 'fort'),\n",
       " (-10.794984555596727, 'found new'),\n",
       " (-10.794984555596727, 'found new york'),\n",
       " (-10.794984555596727, 'fran oi'),\n",
       " (-10.794984555596727, 'fran oi fillon'),\n",
       " (-10.794984555596727, 'franc new'),\n",
       " (-10.794984555596727, 'franc new york'),\n",
       " (-10.794984555596727, 'freedom caucu'),\n",
       " (-10.794984555596727, 'french presidenti'),\n",
       " (-10.794984555596727, 'friday even'),\n",
       " (-10.794984555596727, 'friday even brief'),\n",
       " (-10.794984555596727, 'fs'),\n",
       " (-10.794984555596727, 'futur new'),\n",
       " (-10.794984555596727, 'futur new york'),\n",
       " (-10.794984555596727, 'gaffney'),\n",
       " (-10.794984555596727, 'game breitbart'),\n",
       " (-10.794984555596727, 'game new'),\n",
       " (-10.794984555596727, 'game new york'),\n",
       " (-10.794984555596727, 'gawker'),\n",
       " (-10.794984555596727, 'gener new'),\n",
       " (-10.794984555596727, 'gener new york'),\n",
       " (-10.794984555596727, 'georg michael'),\n",
       " (-10.794984555596727, 'get back'),\n",
       " (-10.794984555596727, 'get new'),\n",
       " (-10.794984555596727, 'go new york'),\n",
       " (-10.794984555596727, 'golden globe'),\n",
       " (-10.794984555596727, 'golden state'),\n",
       " (-10.794984555596727, 'golden state warrior'),\n",
       " (-10.794984555596727, 'goodel'),\n",
       " (-10.794984555596727, 'gop rep'),\n",
       " (-10.794984555596727, 'gop sen'),\n",
       " (-10.794984555596727, 'gorka'),\n",
       " (-10.794984555596727, 'gorsuch'),\n",
       " (-10.794984555596727, 'gorsuch breitbart'),\n",
       " (-10.794984555596727, 'gorsuch confirm'),\n",
       " (-10.794984555596727, 'govern new york'),\n",
       " (-10.794984555596727, 'grammi'),\n",
       " (-10.794984555596727, 'gray'),\n",
       " (-10.794984555596727, 'griffin'),\n",
       " (-10.794984555596727, 'grow new'),\n",
       " (-10.794984555596727, 'grow new york'),\n",
       " (-10.794984555596727, 'guant'),\n",
       " (-10.794984555596727, 'guant namo'),\n",
       " (-10.794984555596727, 'gulf'),\n",
       " (-10.794984555596727, 'gymnast'),\n",
       " (-10.794984555596727, 'hack new'),\n",
       " (-10.794984555596727, 'hack new york'),\n",
       " (-10.794984555596727, 'hbo'),\n",
       " (-10.794984555596727, 'health bill'),\n",
       " (-10.794984555596727, 'health care bill'),\n",
       " (-10.794984555596727, 'health insur'),\n",
       " (-10.794984555596727, 'health law'),\n",
       " (-10.794984555596727, 'healthcar bill'),\n",
       " (-10.794984555596727, 'hear new'),\n",
       " (-10.794984555596727, 'hear new york'),\n",
       " (-10.794984555596727, 'heart new'),\n",
       " (-10.794984555596727, 'heart new york'),\n",
       " (-10.794984555596727, 'high school'),\n",
       " (-10.794984555596727, 'histori new'),\n",
       " (-10.794984555596727, 'histori new york'),\n",
       " (-10.794984555596727, 'hockey'),\n",
       " (-10.794984555596727, 'holiday'),\n",
       " (-10.794984555596727, 'home new'),\n",
       " (-10.794984555596727, 'home new york'),\n",
       " (-10.794984555596727, 'hometown'),\n",
       " (-10.794984555596727, 'horribl'),\n",
       " (-10.794984555596727, 'hous breitbart'),\n",
       " (-10.794984555596727, 'hous new york'),\n",
       " (-10.794984555596727, 'hungari'),\n",
       " (-10.794984555596727, 'hurrican matthew'),\n",
       " (-10.794984555596727, 'imam'),\n",
       " (-10.794984555596727, 'immigr order'),\n",
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       " (-10.794984555596727, 'secretari new york'),\n",
       " (-10.794984555596727, 'secur advis'),\n",
       " (-10.794984555596727, 'secur council'),\n",
       " (-10.794984555596727, 'segment'),\n",
       " (-10.794984555596727, 'self drive car'),\n",
       " (-10.794984555596727, 'senat breitbart'),\n",
       " (-10.794984555596727, 'senat confirm'),\n",
       " (-10.794984555596727, 'settlement new'),\n",
       " (-10.794984555596727, 'settlement new york'),\n",
       " (-10.794984555596727, 'sex offend'),\n",
       " (-10.794984555596727, 'sexual abus'),\n",
       " (-10.794984555596727, 'sharp'),\n",
       " (-10.794984555596727, 'shinzo'),\n",
       " (-10.794984555596727, 'shinzo abe'),\n",
       " (-10.794984555596727, 'shoot new'),\n",
       " (-10.794984555596727, 'shoot new york'),\n",
       " (-10.794984555596727, 'show new'),\n",
       " (-10.794984555596727, 'show new york'),\n",
       " (-10.794984555596727, 'skill'),\n",
       " (-10.794984555596727, 'skip'),\n",
       " (-10.794984555596727, 'smile'),\n",
       " (-10.794984555596727, 'smuggler'),\n",
       " (-10.794984555596727, 'somalia'),\n",
       " (-10.794984555596727, 'son law'),\n",
       " (-10.794984555596727, 'south carolina'),\n",
       " (-10.794984555596727, 'south korean'),\n",
       " (-10.794984555596727, 'spacex'),\n",
       " (-10.794984555596727, 'speaker paul'),\n",
       " (-10.794984555596727, 'speaker paul ryan'),\n",
       " (-10.794984555596727, 'specul'),\n",
       " (-10.794984555596727, 'speech breitbart'),\n",
       " (-10.794984555596727, 'speech new york'),\n",
       " (-10.794984555596727, 'spicer'),\n",
       " (-10.794984555596727, 'sport'),\n",
       " (-10.794984555596727, 'sport new'),\n",
       " (-10.794984555596727, 'sport new york'),\n",
       " (-10.794984555596727, 'spotlight'),\n",
       " (-10.794984555596727, 'stanc'),\n",
       " (-10.794984555596727, 'stanford'),\n",
       " (-10.794984555596727, 'star new'),\n",
       " (-10.794984555596727, 'star new york'),\n",
       " (-10.794984555596727, 'start new'),\n",
       " (-10.794984555596727, 'start new york'),\n",
       " (-10.794984555596727, 'state breitbart'),\n",
       " (-10.794984555596727, 'state new'),\n",
       " (-10.794984555596727, 'state new york'),\n",
       " (-10.794984555596727, 'state support'),\n",
       " (-10.794984555596727, 'state warrior'),\n",
       " (-10.794984555596727, 'stem'),\n",
       " (-10.794984555596727, 'step new'),\n",
       " (-10.794984555596727, 'step new york'),\n",
       " (-10.794984555596727, 'stephen bannon'),\n",
       " (-10.794984555596727, 'stockholm'),\n",
       " (-10.794984555596727, 'stori new'),\n",
       " (-10.794984555596727, 'stori new york'),\n",
       " (-10.794984555596727, 'strand'),\n",
       " (-10.794984555596727, 'streep'),\n",
       " (-10.794984555596727, 'street new york'),\n",
       " (-10.794984555596727, 'streisand'),\n",
       " (-10.794984555596727, 'student new'),\n",
       " (-10.794984555596727, 'student new york'),\n",
       " (-10.794984555596727, 'stumbl'),\n",
       " (-10.794984555596727, 'suburb'),\n",
       " (-10.794984555596727, 'subway'),\n",
       " (-10.794984555596727, 'suddenli'),\n",
       " (-10.794984555596727, 'sunday'),\n",
       " (-10.794984555596727, 'super bowl'),\n",
       " (-10.794984555596727, 'support donald'),\n",
       " (-10.794984555596727, 'support donald trump'),\n",
       " (-10.794984555596727, 'suprem court new'),\n",
       " (-10.794984555596727, 'swift'),\n",
       " (-10.794984555596727, 'swimmer'),\n",
       " (-10.794984555596727, 'syria new york'),\n",
       " (-10.794984555596727, 'syria strike'),\n",
       " (-10.794984555596727, 'taiwan'),\n",
       " (-10.794984555596727, 'takata'),\n",
       " (-10.794984555596727, 'takeaway'),\n",
       " (-10.794984555596727, 'taliban'),\n",
       " (-10.794984555596727, 'talk new'),\n",
       " (-10.794984555596727, 'tap'),\n",
       " (-10.794984555596727, 'tax return'),\n",
       " (-10.794984555596727, 'team new'),\n",
       " (-10.794984555596727, 'team new york'),\n",
       " (-10.794984555596727, 'temporari'),\n",
       " (-10.794984555596727, 'term new'),\n",
       " (-10.794984555596727, 'term new york'),\n",
       " (-10.794984555596727, 'terror breitbart'),\n",
       " (-10.794984555596727, 'terror new'),\n",
       " (-10.794984555596727, 'test new york'),\n",
       " (-10.794984555596727, 'texa border'),\n",
       " (-10.794984555596727, 'theresa'),\n",
       " (-10.794984555596727, 'theresa may'),\n",
       " (-10.794984555596727, 'thing new'),\n",
       " (-10.794984555596727, 'thing new york'),\n",
       " (-10.794984555596727, 'thursday'),\n",
       " (-10.794984555596727, 'thursday even'),\n",
       " (-10.794984555596727, 'thursday even brief'),\n",
       " (-10.794984555596727, 'tie new'),\n",
       " (-10.794984555596727, 'tie new york'),\n",
       " (-10.794984555596727, 'tillerson'),\n",
       " (-10.794984555596727, 'time new'),\n",
       " (-10.794984555596727, 'time new york'),\n",
       " (-10.794984555596727, 'titl new'),\n",
       " (-10.794984555596727, 'titl new york'),\n",
       " (-10.794984555596727, 'todd'),\n",
       " (-10.794984555596727, 'toll'),\n",
       " (-10.794984555596727, 'tom bradi'),\n",
       " (-10.794984555596727, 'tone'),\n",
       " (-10.794984555596727, 'tough'),\n",
       " (-10.794984555596727, 'tourist'),\n",
       " (-10.794984555596727, 'town hall'),\n",
       " (-10.794984555596727, 'town new'),\n",
       " (-10.794984555596727, 'town new york'),\n",
       " (-10.794984555596727, 'trailer breitbart'),\n",
       " (-10.794984555596727, 'tran'),\n",
       " (-10.794984555596727, 'transit team'),\n",
       " (-10.794984555596727, 'travel ban'),\n",
       " (-10.794984555596727, 'travel ban new'),\n",
       " (-10.794984555596727, 'trial new'),\n",
       " (-10.794984555596727, 'trial new york'),\n",
       " (-10.794984555596727, 'trophi'),\n",
       " (-10.794984555596727, 'trove'),\n",
       " (-10.794984555596727, 'trudeau'),\n",
       " (-10.794984555596727, 'trump admin'),\n",
       " (-10.794984555596727, 'trump border'),\n",
       " (-10.794984555596727, 'trump breitbart'),\n",
       " (-10.794984555596727, 'trump budget'),\n",
       " (-10.794984555596727, 'trump celebr'),\n",
       " (-10.794984555596727, 'trump choic'),\n",
       " (-10.794984555596727, 'trump could'),\n",
       " (-10.794984555596727, 'trump execut'),\n",
       " (-10.794984555596727, 'trump execut order'),\n",
       " (-10.794984555596727, 'trump fire'),\n",
       " (-10.794984555596727, 'trump first day'),\n",
       " (-10.794984555596727, 'trump go'),\n",
       " (-10.794984555596727, 'trump immigr'),\n",
       " (-10.794984555596727, 'trump immigr order'),\n",
       " (-10.794984555596727, 'trump keep'),\n",
       " (-10.794984555596727, 'trump may'),\n",
       " (-10.794984555596727, 'trump new york'),\n",
       " (-10.794984555596727, 'trump nomine'),\n",
       " (-10.794984555596727, 'trump order'),\n",
       " (-10.794984555596727, 'trump pick'),\n",
       " (-10.794984555596727, 'trump polici'),\n",
       " (-10.794984555596727, 'trump talk'),\n",
       " (-10.794984555596727, 'trump travel'),\n",
       " (-10.794984555596727, 'trump travel ban'),\n",
       " (-10.794984555596727, 'trump tri'),\n",
       " (-10.794984555596727, 'trump visit'),\n",
       " (-10.794984555596727, 'trump vow'),\n",
       " (-10.794984555596727, 'trump wall'),\n",
       " (-10.794984555596727, 'trump women'),\n",
       " (-10.794984555596727, 'tuesday brief'),\n",
       " (-10.794984555596727, 'tuesday brief new'),\n",
       " (-10.794984555596727, 'tuesday even'),\n",
       " (-10.794984555596727, 'tuesday even brief'),\n",
       " (-10.794984555596727, 'turmoil'),\n",
       " (-10.794984555596727, 'twitter breitbart'),\n",
       " (-10.794984555596727, 'two year'),\n",
       " (-10.794984555596727, 'uc davi'),\n",
       " (-10.794984555596727, 'unlik'),\n",
       " (-10.794984555596727, 'unmask'),\n",
       " (-10.794984555596727, 'upend'),\n",
       " (-10.794984555596727, 'uphold'),\n",
       " (-10.794984555596727, 'us new york'),\n",
       " (-10.794984555596727, 'vacat'),\n",
       " (-10.794984555596727, 'vacat new'),\n",
       " (-10.794984555596727, 'vacat new york'),\n",
       " (-10.794984555596727, 'vanish'),\n",
       " (-10.794984555596727, 'veto'),\n",
       " (-10.794984555596727, 'violenc new'),\n",
       " (-10.794984555596727, 'violenc new york'),\n",
       " (-10.794984555596727, 'virgil'),\n",
       " (-10.794984555596727, 'vogu'),\n",
       " (-10.794984555596727, 'volkswagen'),\n",
       " (-10.794984555596727, 'vote new'),\n",
       " (-10.794984555596727, 'vote new york'),\n",
       " (-10.794984555596727, 'voter id'),\n",
       " (-10.794984555596727, 'wait new'),\n",
       " (-10.794984555596727, 'wall breitbart'),\n",
       " (-10.794984555596727, 'war new'),\n",
       " (-10.794984555596727, 'war new york'),\n",
       " (-10.794984555596727, 'wari'),\n",
       " (-10.794984555596727, 'warn new'),\n",
       " (-10.794984555596727, 'warn new york'),\n",
       " (-10.794984555596727, 'warner'),\n",
       " (-10.794984555596727, 'warrior'),\n",
       " (-10.794984555596727, 'washington new'),\n",
       " (-10.794984555596727, 'washington new york'),\n",
       " (-10.794984555596727, 'water new'),\n",
       " (-10.794984555596727, 'water new york'),\n",
       " (-10.794984555596727, 'way new'),\n",
       " (-10.794984555596727, 'way new york'),\n",
       " (-10.794984555596727, 'wednesday brief'),\n",
       " (-10.794984555596727, 'wednesday brief new'),\n",
       " (-10.794984555596727, 'wednesday even'),\n",
       " (-10.794984555596727, 'wednesday even brief'),\n",
       " (-10.794984555596727, 'week new'),\n",
       " (-10.794984555596727, 'week new york'),\n",
       " (-10.794984555596727, 'weekend brief'),\n",
       " (-10.794984555596727, 'weekend brief new'),\n",
       " (-10.794984555596727, 'weekend new'),\n",
       " (-10.794984555596727, 'weekend new york'),\n",
       " (-10.794984555596727, 'well fargo'),\n",
       " (-10.794984555596727, 'west bank'),\n",
       " (-10.794984555596727, 'westminst'),\n",
       " (-10.794984555596727, 'wh'),\n",
       " (-10.794984555596727, 'white hous breitbart'),\n",
       " (-10.794984555596727, 'white hous new'),\n",
       " (-10.794984555596727, 'white nationalist'),\n",
       " (-10.794984555596727, 'wider'),\n",
       " (-10.794984555596727, 'wield'),\n",
       " (-10.794984555596727, 'wildfir'),\n",
       " (-10.794984555596727, 'wimbledon'),\n",
       " (-10.794984555596727, 'win breitbart'),\n",
       " (-10.794984555596727, 'wiretap claim'),\n",
       " (-10.794984555596727, 'women march'),\n",
       " (-10.794984555596727, 'women new'),\n",
       " (-10.794984555596727, 'women new york'),\n",
       " (-10.794984555596727, 'work new'),\n",
       " (-10.794984555596727, 'work new york'),\n",
       " (-10.794984555596727, 'world new'),\n",
       " (-10.794984555596727, 'world new york'),\n",
       " (-10.794984555596727, 'worri new'),\n",
       " (-10.794984555596727, 'worri new york'),\n",
       " (-10.794984555596727, 'wrestl'),\n",
       " (-10.794984555596727, 'yahoo'),\n",
       " (-10.794984555596727, 'year breitbart'),\n",
       " (-10.794984555596727, 'year eve'),\n",
       " (-10.794984555596727, 'year new york'),\n",
       " (-10.794984555596727, 'york new'),\n",
       " (-10.794984555596727, 'york new york'),\n",
       " (-10.794984555596727, 'york state'),\n",
       " (-10.794984555596727, 'zone new'),\n",
       " (-10.794984555596727, 'zone new york'),\n",
       " (-10.794984555596727, 'zoo'),\n",
       " (-10.047770153766505, 'academi'),\n",
       " (-10.047770153766505, 'accid'),\n",
       " (-10.047770153766505, 'aclu'),\n",
       " (-10.047770153766505, 'acr'),\n",
       " (-10.047770153766505, 'adopt'),\n",
       " (-10.047770153766505, 'ahead trump'),\n",
       " (-10.047770153766505, 'airbnb'),\n",
       " (-10.047770153766505, 'airlin'),\n",
       " (-10.047770153766505, 'album'),\n",
       " (-10.047770153766505, 'alex jone'),\n",
       " (-10.047770153766505, 'allegedli'),\n",
       " (-10.047770153766505, 'allianc'),\n",
       " (-10.047770153766505, 'america new'),\n",
       " (-10.047770153766505, 'anchor'),\n",
       " (-10.047770153766505, 'anger'),\n",
       " (-10.047770153766505, 'anti israel'),\n",
       " (-10.047770153766505, 'anti semit'),\n",
       " (-10.047770153766505, 'anymor'),\n",
       " (-10.047770153766505, 'applic'),\n",
       " (-10.047770153766505, 'approach'),\n",
       " (-10.047770153766505, 'appropri'),\n",
       " (-10.047770153766505, 'around world'),\n",
       " (-10.047770153766505, 'artifici'),\n",
       " (-10.047770153766505, 'asylum seeker'),\n",
       " (-10.047770153766505, 'atlant'),\n",
       " (-10.047770153766505, 'attack polic'),\n",
       " (-10.047770153766505, 'attack trump'),\n",
       " (-10.047770153766505, 'auto'),\n",
       " (-10.047770153766505, 'aviv'),\n",
       " (-10.047770153766505, 'back trump'),\n",
       " (-10.047770153766505, 'baghdad'),\n",
       " (-10.047770153766505, 'band'),\n",
       " (-10.047770153766505, 'barrier'),\n",
       " (-10.047770153766505, 'barron'),\n",
       " (-10.047770153766505, 'beach'),\n",
       " (-10.047770153766505, 'beer'),\n",
       " (-10.047770153766505, 'behead'),\n",
       " (-10.047770153766505, 'beij'),\n",
       " (-10.047770153766505, 'ben'),\n",
       " (-10.047770153766505, 'berlin'),\n",
       " (-10.047770153766505, 'bet'),\n",
       " (-10.047770153766505, 'beyonc'),\n",
       " (-10.047770153766505, 'bill cosbi'),\n",
       " (-10.047770153766505, 'bitter'),\n",
       " (-10.047770153766505, 'blasio'),\n",
       " (-10.047770153766505, 'block trump'),\n",
       " (-10.047770153766505, 'boat'),\n",
       " (-10.047770153766505, 'boe'),\n",
       " (-10.047770153766505, 'boko'),\n",
       " (-10.047770153766505, 'boko haram'),\n",
       " (-10.047770153766505, 'bolton'),\n",
       " (-10.047770153766505, 'bomber'),\n",
       " (-10.047770153766505, 'bori'),\n",
       " (-10.047770153766505, 'boss'),\n",
       " (-10.047770153766505, 'bow'),\n",
       " (-10.047770153766505, 'branch'),\n",
       " (-10.047770153766505, 'breitbart news'),\n",
       " (-10.047770153766505, 'bribe'),\n",
       " (-10.047770153766505, 'brought'),\n",
       " (-10.047770153766505, 'built'),\n",
       " (-10.047770153766505, 'bull'),\n",
       " ...]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Most fake words\n",
    "sorted(zip(classifier.coef_[0], feature_names))[:5000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(-4.000149156604985, 'trump'),\n",
       " (-4.287872694443541, 'hillari'),\n",
       " (-4.396389621061519, 'clinton'),\n",
       " (-4.899969726208735, 'elect'),\n",
       " (-5.176598600897756, 'new'),\n",
       " (-5.234730366348767, 'comment'),\n",
       " (-5.273968180973631, 'video'),\n",
       " (-5.3868167681180115, 'war'),\n",
       " (-5.396821854078974, 'us'),\n",
       " (-5.412019714988405, 'hillari clinton'),\n",
       " (-5.417137433425386, 'fbi'),\n",
       " (-5.48068448454208, 'vote'),\n",
       " (-5.566255475855405, 'email'),\n",
       " (-5.578238842742501, 'world'),\n",
       " (-5.634015380199913, 'obama'),\n",
       " (-5.734501455772904, 'donald'),\n",
       " (-5.763095255139644, 'donald trump'),\n",
       " (-5.785090276725191, 'russia'),\n",
       " (-5.846224665218559, 'day'),\n",
       " (-5.862110622807369, 'america'),\n",
       " (-5.902965977905432, 'presid'),\n",
       " (-5.902965977905432, 'break'),\n",
       " (-5.902965977905432, 'american'),\n",
       " (-5.919787232395575, 'say'),\n",
       " (-5.980995145582579, 'state'),\n",
       " (-6.075494112579337, 'campaign'),\n",
       " (-6.085454354284392, 'wikileak'),\n",
       " (-6.085454354284392, 'get'),\n",
       " (-6.11594452104218, 'call'),\n",
       " (-6.136800334323018, 'investig'),\n",
       " (-6.158100394119107, 'protest'),\n",
       " (-6.158100394119107, 'make'),\n",
       " (-6.168923010577259, 'win'),\n",
       " (-6.1798640387554675, 'year'),\n",
       " (-6.1798640387554675, 'news'),\n",
       " (-6.1909260984613255, 'support'),\n",
       " (-6.213424235247769, 'de'),\n",
       " (-6.213424235247769, 'black'),\n",
       " (-6.224866007667554, 'report'),\n",
       " (-6.2364402109486905, 'time'),\n",
       " (-6.284125049079877, 'right'),\n",
       " (-6.284125049079877, 'peopl'),\n",
       " (-6.284125049079877, 'media'),\n",
       " (-6.308848187166672, 'like'),\n",
       " (-6.321442812087072, 'watch'),\n",
       " (-6.321442812087072, 'muslim'),\n",
       " (-6.334198087062198, 'putin'),\n",
       " (-6.334198087062198, 'polic'),\n",
       " (-6.334198087062198, 'kill'),\n",
       " (-6.347118163427302, 'russian'),\n",
       " (-6.386911211984744, 'one'),\n",
       " (-6.400535400924288, 'la'),\n",
       " (-6.428353606400819, 'voter'),\n",
       " (-6.442558390699136, 'want'),\n",
       " (-6.442558390699136, 'syria'),\n",
       " (-6.456967861919288, 'use'),\n",
       " (-6.456967861919288, 'reveal'),\n",
       " (-6.456967861919288, 'anti'),\n",
       " (-6.47158800537425, 'white'),\n",
       " (-6.47158800537425, 'go'),\n",
       " (-6.4864250728047175, 'plan'),\n",
       " (-6.4864250728047175, 'first'),\n",
       " (-6.532304678555412, 'expos'),\n",
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       " (-8.213085639821417, 'ring'),\n",
       " (-8.213085639821417, 'reopen hillari'),\n",
       " (-8.213085639821417, 'qaeda'),\n",
       " (-8.213085639821417, 'prosecut'),\n",
       " (-8.213085639821417, 'progress'),\n",
       " (-8.213085639821417, 'presid elect'),\n",
       " (-8.213085639821417, 'popular'),\n",
       " (-8.213085639821417, 'plane'),\n",
       " (-8.213085639821417, 'pennsylvania'),\n",
       " (-8.213085639821417, 'path'),\n",
       " (-8.213085639821417, 'occupi'),\n",
       " (-8.213085639821417, 'number'),\n",
       " (-8.213085639821417, 'nasa'),\n",
       " (-8.213085639821417, 'movement'),\n",
       " (-8.213085639821417, 'moon'),\n",
       " (-8.213085639821417, 'moment'),\n",
       " (-8.213085639821417, 'militia'),\n",
       " (-8.213085639821417, 'mental'),\n",
       " (-8.213085639821417, 'menon'),\n",
       " (-8.213085639821417, 'longer'),\n",
       " (-8.213085639821417, 'littl'),\n",
       " (-8.213085639821417, 'le'),\n",
       " (-8.213085639821417, 'joe'),\n",
       " (-8.213085639821417, 'info'),\n",
       " (-8.213085639821417, 'hotel'),\n",
       " (-8.213085639821417, 'hillari win'),\n",
       " (-8.213085639821417, 'hell'),\n",
       " (-8.213085639821417, 'heart'),\n",
       " (-8.213085639821417, 'hacker'),\n",
       " (-8.213085639821417, 'grab'),\n",
       " (-8.213085639821417, 'florida'),\n",
       " (-8.213085639821417, 'fli'),\n",
       " (-8.213085639821417, 'first time'),\n",
       " (-8.213085639821417, 'femal'),\n",
       " (-8.213085639821417, 'feel'),\n",
       " (-8.213085639821417, 'fbi email investig'),\n",
       " (-8.213085639821417, 'father'),\n",
       " (-8.213085639821417, 'fan'),\n",
       " (-8.213085639821417, 'fake news'),\n",
       " (-8.213085639821417, 'expect'),\n",
       " (-8.213085639821417, 'eric'),\n",
       " (-8.213085639821417, 'energi'),\n",
       " (-8.213085639821417, 'endors hillari'),\n",
       " (-8.213085639821417, 'empir'),\n",
       " (-8.213085639821417, 'eat'),\n",
       " (-8.213085639821417, 'drink'),\n",
       " (-8.213085639821417, 'discuss'),\n",
       " (-8.213085639821417, 'deplor'),\n",
       " (-8.213085639821417, 'depart'),\n",
       " (-8.213085639821417, 'delet'),\n",
       " (-8.213085639821417, 'debbi menon'),\n",
       " (-8.213085639821417, 'dc'),\n",
       " (-8.213085639821417, 'cultur'),\n",
       " (-8.213085639821417, 'critic'),\n",
       " (-8.213085639821417, 'corpor'),\n",
       " (-8.213085639821417, 'conspiraci'),\n",
       " (-8.213085639821417, 'complaint'),\n",
       " (-8.213085639821417, 'commit'),\n",
       " (-8.213085639821417, 'clean'),\n",
       " (-8.213085639821417, 'chemic'),\n",
       " (-8.213085639821417, 'chao'),\n",
       " (-8.213085639821417, 'chairman'),\n",
       " (-8.213085639821417, 'cancel'),\n",
       " (-8.213085639821417, 'blood'),\n",
       " (-8.213085639821417, 'around'),\n",
       " (-8.213085639821417, 'architect'),\n",
       " (-8.213085639821417, 'alt'),\n",
       " (-8.213085639821417, 'al qaeda'),\n",
       " (-8.213085639821417, 'administr'),\n",
       " (-8.213085639821417, 'ad'),\n",
       " (-8.300861250703802, 'zone'),\n",
       " (-8.300861250703802, 'war report novemb'),\n",
       " (-8.300861250703802, 'unveil'),\n",
       " (-8.300861250703802, 'trump hillari'),\n",
       " (-8.300861250703802, 'troubl'),\n",
       " (-8.300861250703802, 'trigger'),\n",
       " (-8.300861250703802, 'treat'),\n",
       " (-8.300861250703802, 'transgend'),\n",
       " (-8.300861250703802, 'train'),\n",
       " (-8.300861250703802, 'took'),\n",
       " (-8.300861250703802, 'store'),\n",
       " (-8.300861250703802, 'stone'),\n",
       " (-8.300861250703802, 'stock'),\n",
       " (-8.300861250703802, 'station'),\n",
       " (-8.300861250703802, 'st'),\n",
       " (-8.300861250703802, 'site'),\n",
       " (-8.300861250703802, 'ship'),\n",
       " (-8.300861250703802, 'seri'),\n",
       " (-8.300861250703802, 'sell'),\n",
       " (-8.300861250703802, 'secretari'),\n",
       " (-8.300861250703802, 'sander'),\n",
       " (-8.300861250703802, 'saker'),\n",
       " (-8.300861250703802, 'ryan'),\n",
       " (-8.300861250703802, 'rush'),\n",
       " (-8.300861250703802, 'republ'),\n",
       " (-8.300861250703802, 'report novemb'),\n",
       " (-8.300861250703802, 'reduc'),\n",
       " (-8.300861250703802, 'radic'),\n",
       " (-8.300861250703802, 'profit'),\n",
       " (-8.300861250703802, 'product'),\n",
       " (-8.300861250703802, 'pro'),\n",
       " (-8.300861250703802, 'price'),\n",
       " (-8.300861250703802, 'post elect'),\n",
       " (-8.300861250703802, 'posit'),\n",
       " (-8.300861250703802, 'polic offic'),\n",
       " (-8.300861250703802, 'plant'),\n",
       " (-8.300861250703802, 'pictur'),\n",
       " (-8.300861250703802, 'pick'),\n",
       " (-8.300861250703802, 'pain'),\n",
       " (-8.300861250703802, 'open thread'),\n",
       " (-8.300861250703802, 'oligarchi'),\n",
       " (-8.300861250703802, 'nuke'),\n",
       " (-8.300861250703802, 'novemb daili contrarian'),\n",
       " (-8.300861250703802, 'novemb daili'),\n",
       " (-8.300861250703802, 'note'),\n",
       " (-8.300861250703802, 'nearli'),\n",
       " (-8.300861250703802, 'nazi'),\n",
       " (-8.300861250703802, 'mysteri'),\n",
       " (-8.300861250703802, 'mr'),\n",
       " (-8.300861250703802, 'mosqu'),\n",
       " (-8.300861250703802, 'minist'),\n",
       " (-8.300861250703802, 'michael moor'),\n",
       " (-8.300861250703802, 'mexico'),\n",
       " (-8.300861250703802, 'low'),\n",
       " (-8.300861250703802, 'long'),\n",
       " (-8.300861250703802, 'late'),\n",
       " (-8.300861250703802, 'korea'),\n",
       " (-8.300861250703802, 'kick'),\n",
       " (-8.300861250703802, 'julian assang'),\n",
       " (-8.300861250703802, 'julian'),\n",
       " (-8.300861250703802, 'jew'),\n",
       " (-8.300861250703802, 'jame comey'),\n",
       " (-8.300861250703802, 'influenc'),\n",
       " (-8.300861250703802, 'illeg immigr'),\n",
       " (-8.300861250703802, 'illeg alien'),\n",
       " (-8.300861250703802, 'ignor'),\n",
       " (-8.300861250703802, 'homeless'),\n",
       " (-8.300861250703802, 'hillari support'),\n",
       " (-8.300861250703802, 'hilari'),\n",
       " (-8.300861250703802, 'higher'),\n",
       " (-8.300861250703802, 'guy'),\n",
       " (-8.300861250703802, 'gain'),\n",
       " (-8.300861250703802, 'friend'),\n",
       " (-8.300861250703802, 'fed'),\n",
       " (-8.300861250703802, 'fbi investig'),\n",
       " (-8.300861250703802, 'favor'),\n",
       " (-8.300861250703802, 'fact'),\n",
       " (-8.300861250703802, 'everyth'),\n",
       " (-8.300861250703802, 'es'),\n",
       " (-8.300861250703802, 'epic'),\n",
       " (-8.300861250703802, 'entir'),\n",
       " (-8.300861250703802, 'elect trump'),\n",
       " (-8.300861250703802, 'elect result'),\n",
       " (-8.300861250703802, 'drone'),\n",
       " (-8.300861250703802, 'dirti'),\n",
       " (-8.300861250703802, 'director comey'),\n",
       " (-8.300861250703802, 'deploy'),\n",
       " (-8.300861250703802, 'defens'),\n",
       " (-8.300861250703802, 'data'),\n",
       " (-8.300861250703802, 'dark'),\n",
       " (-8.300861250703802, 'cost'),\n",
       " (-8.300861250703802, 'congressman'),\n",
       " (-8.300861250703802, 'compani'),\n",
       " ...]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Most real words\n",
    "sorted(zip(classifier.coef_[0], feature_names), reverse=True)[:5000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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