├── FakeNewsClassifier TFIDF.ipynb
├── FakeNewsCount_vectorizer.ipynb
├── README.md
└── fake-news
    ├── submit.csv
    └── test.csv


/FakeNewsCount_vectorizer.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "markdown",
   5 |    "metadata": {},
   6 |    "source": [
   7 |     "### Fake News Classifier\n",
   8 |     "Dataset:  https://www.kaggle.com/c/fake-news/data#"
   9 |    ]
  10 |   },
  11 |   {
  12 |    "cell_type": "code",
  13 |    "execution_count": 111,
  14 |    "metadata": {},
  15 |    "outputs": [],
  16 |    "source": [
  17 |     "import pandas as pd"
  18 |    ]
  19 |   },
  20 |   {
  21 |    "cell_type": "code",
  22 |    "execution_count": 112,
  23 |    "metadata": {},
  24 |    "outputs": [],
  25 |    "source": [
  26 |     "df=pd.read_csv('fake-news/train.csv')"
  27 |    ]
  28 |   },
  29 |   {
  30 |    "cell_type": "code",
  31 |    "execution_count": 113,
  32 |    "metadata": {},
  33 |    "outputs": [
  34 |     {
  35 |      "data": {
  36 |       "text/html": [
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  50 |        "</style>\n",
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  52 |        "  <thead>\n",
  53 |        "    <tr style=\"text-align: right;\">\n",
  54 |        "      <th></th>\n",
  55 |        "      <th>id</th>\n",
  56 |        "      <th>title</th>\n",
  57 |        "      <th>author</th>\n",
  58 |        "      <th>text</th>\n",
  59 |        "      <th>label</th>\n",
  60 |        "    </tr>\n",
  61 |        "  </thead>\n",
  62 |        "  <tbody>\n",
  63 |        "    <tr>\n",
  64 |        "      <th>0</th>\n",
  65 |        "      <td>0</td>\n",
  66 |        "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
  67 |        "      <td>Darrell Lucus</td>\n",
  68 |        "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
  69 |        "      <td>1</td>\n",
  70 |        "    </tr>\n",
  71 |        "    <tr>\n",
  72 |        "      <th>1</th>\n",
  73 |        "      <td>1</td>\n",
  74 |        "      <td>FLYNN: Hillary Clinton, Big Woman on Campus - ...</td>\n",
  75 |        "      <td>Daniel J. Flynn</td>\n",
  76 |        "      <td>Ever get the feeling your life circles the rou...</td>\n",
  77 |        "      <td>0</td>\n",
  78 |        "    </tr>\n",
  79 |        "    <tr>\n",
  80 |        "      <th>2</th>\n",
  81 |        "      <td>2</td>\n",
  82 |        "      <td>Why the Truth Might Get You Fired</td>\n",
  83 |        "      <td>Consortiumnews.com</td>\n",
  84 |        "      <td>Why the Truth Might Get You Fired October 29, ...</td>\n",
  85 |        "      <td>1</td>\n",
  86 |        "    </tr>\n",
  87 |        "    <tr>\n",
  88 |        "      <th>3</th>\n",
  89 |        "      <td>3</td>\n",
  90 |        "      <td>15 Civilians Killed In Single US Airstrike Hav...</td>\n",
  91 |        "      <td>Jessica Purkiss</td>\n",
  92 |        "      <td>Videos 15 Civilians Killed In Single US Airstr...</td>\n",
  93 |        "      <td>1</td>\n",
  94 |        "    </tr>\n",
  95 |        "    <tr>\n",
  96 |        "      <th>4</th>\n",
  97 |        "      <td>4</td>\n",
  98 |        "      <td>Iranian woman jailed for fictional unpublished...</td>\n",
  99 |        "      <td>Howard Portnoy</td>\n",
 100 |        "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
 101 |        "      <td>1</td>\n",
 102 |        "    </tr>\n",
 103 |        "  </tbody>\n",
 104 |        "</table>\n",
 105 |        "</div>"
 106 |       ],
 107 |       "text/plain": [
 108 |        "   id                                              title              author  \\\n",
 109 |        "0   0  House Dem Aide: We Didn’t Even See Comey’s Let...       Darrell Lucus   \n",
 110 |        "1   1  FLYNN: Hillary Clinton, Big Woman on Campus - ...     Daniel J. Flynn   \n",
 111 |        "2   2                  Why the Truth Might Get You Fired  Consortiumnews.com   \n",
 112 |        "3   3  15 Civilians Killed In Single US Airstrike Hav...     Jessica Purkiss   \n",
 113 |        "4   4  Iranian woman jailed for fictional unpublished...      Howard Portnoy   \n",
 114 |        "\n",
 115 |        "                                                text  label  \n",
 116 |        "0  House Dem Aide: We Didn’t Even See Comey’s Let...      1  \n",
 117 |        "1  Ever get the feeling your life circles the rou...      0  \n",
 118 |        "2  Why the Truth Might Get You Fired October 29, ...      1  \n",
 119 |        "3  Videos 15 Civilians Killed In Single US Airstr...      1  \n",
 120 |        "4  Print \\nAn Iranian woman has been sentenced to...      1  "
 121 |       ]
 122 |      },
 123 |      "execution_count": 113,
 124 |      "metadata": {},
 125 |      "output_type": "execute_result"
 126 |     }
 127 |    ],
 128 |    "source": [
 129 |     "df.head()"
 130 |    ]
 131 |   },
 132 |   {
 133 |    "cell_type": "code",
 134 |    "execution_count": 114,
 135 |    "metadata": {},
 136 |    "outputs": [],
 137 |    "source": [
 138 |     "## Get the Independent Features\n",
 139 |     "\n",
 140 |     "X=df.drop('label',axis=1)"
 141 |    ]
 142 |   },
 143 |   {
 144 |    "cell_type": "code",
 145 |    "execution_count": 115,
 146 |    "metadata": {},
 147 |    "outputs": [
 148 |     {
 149 |      "data": {
 150 |       "text/html": [
 151 |        "<div>\n",
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 155 |        "    }\n",
 156 |        "\n",
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 164 |        "</style>\n",
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 166 |        "  <thead>\n",
 167 |        "    <tr style=\"text-align: right;\">\n",
 168 |        "      <th></th>\n",
 169 |        "      <th>id</th>\n",
 170 |        "      <th>title</th>\n",
 171 |        "      <th>author</th>\n",
 172 |        "      <th>text</th>\n",
 173 |        "    </tr>\n",
 174 |        "  </thead>\n",
 175 |        "  <tbody>\n",
 176 |        "    <tr>\n",
 177 |        "      <th>0</th>\n",
 178 |        "      <td>0</td>\n",
 179 |        "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
 180 |        "      <td>Darrell Lucus</td>\n",
 181 |        "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
 182 |        "    </tr>\n",
 183 |        "    <tr>\n",
 184 |        "      <th>1</th>\n",
 185 |        "      <td>1</td>\n",
 186 |        "      <td>FLYNN: Hillary Clinton, Big Woman on Campus - ...</td>\n",
 187 |        "      <td>Daniel J. Flynn</td>\n",
 188 |        "      <td>Ever get the feeling your life circles the rou...</td>\n",
 189 |        "    </tr>\n",
 190 |        "    <tr>\n",
 191 |        "      <th>2</th>\n",
 192 |        "      <td>2</td>\n",
 193 |        "      <td>Why the Truth Might Get You Fired</td>\n",
 194 |        "      <td>Consortiumnews.com</td>\n",
 195 |        "      <td>Why the Truth Might Get You Fired October 29, ...</td>\n",
 196 |        "    </tr>\n",
 197 |        "    <tr>\n",
 198 |        "      <th>3</th>\n",
 199 |        "      <td>3</td>\n",
 200 |        "      <td>15 Civilians Killed In Single US Airstrike Hav...</td>\n",
 201 |        "      <td>Jessica Purkiss</td>\n",
 202 |        "      <td>Videos 15 Civilians Killed In Single US Airstr...</td>\n",
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 207 |        "      <td>Iranian woman jailed for fictional unpublished...</td>\n",
 208 |        "      <td>Howard Portnoy</td>\n",
 209 |        "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
 210 |        "    </tr>\n",
 211 |        "  </tbody>\n",
 212 |        "</table>\n",
 213 |        "</div>"
 214 |       ],
 215 |       "text/plain": [
 216 |        "   id                                              title              author  \\\n",
 217 |        "0   0  House Dem Aide: We Didn’t Even See Comey’s Let...       Darrell Lucus   \n",
 218 |        "1   1  FLYNN: Hillary Clinton, Big Woman on Campus - ...     Daniel J. Flynn   \n",
 219 |        "2   2                  Why the Truth Might Get You Fired  Consortiumnews.com   \n",
 220 |        "3   3  15 Civilians Killed In Single US Airstrike Hav...     Jessica Purkiss   \n",
 221 |        "4   4  Iranian woman jailed for fictional unpublished...      Howard Portnoy   \n",
 222 |        "\n",
 223 |        "                                                text  \n",
 224 |        "0  House Dem Aide: We Didn’t Even See Comey’s Let...  \n",
 225 |        "1  Ever get the feeling your life circles the rou...  \n",
 226 |        "2  Why the Truth Might Get You Fired October 29, ...  \n",
 227 |        "3  Videos 15 Civilians Killed In Single US Airstr...  \n",
 228 |        "4  Print \\nAn Iranian woman has been sentenced to...  "
 229 |       ]
 230 |      },
 231 |      "execution_count": 115,
 232 |      "metadata": {},
 233 |      "output_type": "execute_result"
 234 |     }
 235 |    ],
 236 |    "source": [
 237 |     "X.head()"
 238 |    ]
 239 |   },
 240 |   {
 241 |    "cell_type": "code",
 242 |    "execution_count": 116,
 243 |    "metadata": {},
 244 |    "outputs": [],
 245 |    "source": [
 246 |     "## Get the Dependent features\n",
 247 |     "y=df['label']"
 248 |    ]
 249 |   },
 250 |   {
 251 |    "cell_type": "code",
 252 |    "execution_count": 117,
 253 |    "metadata": {},
 254 |    "outputs": [
 255 |     {
 256 |      "data": {
 257 |       "text/plain": [
 258 |        "0    1\n",
 259 |        "1    0\n",
 260 |        "2    1\n",
 261 |        "3    1\n",
 262 |        "4    1\n",
 263 |        "Name: label, dtype: int64"
 264 |       ]
 265 |      },
 266 |      "execution_count": 117,
 267 |      "metadata": {},
 268 |      "output_type": "execute_result"
 269 |     }
 270 |    ],
 271 |    "source": [
 272 |     "y.head()"
 273 |    ]
 274 |   },
 275 |   {
 276 |    "cell_type": "code",
 277 |    "execution_count": 122,
 278 |    "metadata": {},
 279 |    "outputs": [
 280 |     {
 281 |      "data": {
 282 |       "text/plain": [
 283 |        "(18285, 5)"
 284 |       ]
 285 |      },
 286 |      "execution_count": 122,
 287 |      "metadata": {},
 288 |      "output_type": "execute_result"
 289 |     }
 290 |    ],
 291 |    "source": [
 292 |     "df.shape"
 293 |    ]
 294 |   },
 295 |   {
 296 |    "cell_type": "code",
 297 |    "execution_count": 120,
 298 |    "metadata": {},
 299 |    "outputs": [],
 300 |    "source": [
 301 |     "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer, HashingVectorizer"
 302 |    ]
 303 |   },
 304 |   {
 305 |    "cell_type": "code",
 306 |    "execution_count": 121,
 307 |    "metadata": {},
 308 |    "outputs": [],
 309 |    "source": [
 310 |     "df=df.dropna()"
 311 |    ]
 312 |   },
 313 |   {
 314 |    "cell_type": "code",
 315 |    "execution_count": 123,
 316 |    "metadata": {},
 317 |    "outputs": [
 318 |     {
 319 |      "data": {
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 328 |        "        vertical-align: top;\n",
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 332 |        "        text-align: right;\n",
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 345 |        "  </thead>\n",
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 349 |        "      <td>0</td>\n",
 350 |        "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
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 352 |        "      <td>House Dem Aide: We Didn’t Even See Comey’s Let...</td>\n",
 353 |        "      <td>1</td>\n",
 354 |        "    </tr>\n",
 355 |        "    <tr>\n",
 356 |        "      <th>1</th>\n",
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 358 |        "      <td>FLYNN: Hillary Clinton, Big Woman on Campus - ...</td>\n",
 359 |        "      <td>Daniel J. Flynn</td>\n",
 360 |        "      <td>Ever get the feeling your life circles the rou...</td>\n",
 361 |        "      <td>0</td>\n",
 362 |        "    </tr>\n",
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 364 |        "      <th>2</th>\n",
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 366 |        "      <td>Why the Truth Might Get You Fired</td>\n",
 367 |        "      <td>Consortiumnews.com</td>\n",
 368 |        "      <td>Why the Truth Might Get You Fired October 29, ...</td>\n",
 369 |        "      <td>1</td>\n",
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 374 |        "      <td>15 Civilians Killed In Single US Airstrike Hav...</td>\n",
 375 |        "      <td>Jessica Purkiss</td>\n",
 376 |        "      <td>Videos 15 Civilians Killed In Single US Airstr...</td>\n",
 377 |        "      <td>1</td>\n",
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 383 |        "      <td>Howard Portnoy</td>\n",
 384 |        "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
 385 |        "      <td>1</td>\n",
 386 |        "    </tr>\n",
 387 |        "    <tr>\n",
 388 |        "      <th>5</th>\n",
 389 |        "      <td>5</td>\n",
 390 |        "      <td>Jackie Mason: Hollywood Would Love Trump if He...</td>\n",
 391 |        "      <td>Daniel Nussbaum</td>\n",
 392 |        "      <td>In these trying times, Jackie Mason is the Voi...</td>\n",
 393 |        "      <td>0</td>\n",
 394 |        "    </tr>\n",
 395 |        "    <tr>\n",
 396 |        "      <th>7</th>\n",
 397 |        "      <td>7</td>\n",
 398 |        "      <td>Benoît Hamon Wins French Socialist Party’s Pre...</td>\n",
 399 |        "      <td>Alissa J. Rubin</td>\n",
 400 |        "      <td>PARIS  —   France chose an idealistic, traditi...</td>\n",
 401 |        "      <td>0</td>\n",
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 403 |        "    <tr>\n",
 404 |        "      <th>9</th>\n",
 405 |        "      <td>9</td>\n",
 406 |        "      <td>A Back-Channel Plan for Ukraine and Russia, Co...</td>\n",
 407 |        "      <td>Megan Twohey and Scott Shane</td>\n",
 408 |        "      <td>A week before Michael T. Flynn resigned as nat...</td>\n",
 409 |        "      <td>0</td>\n",
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 414 |        "      <td>Obama’s Organizing for Action Partners with So...</td>\n",
 415 |        "      <td>Aaron Klein</td>\n",
 416 |        "      <td>Organizing for Action, the activist group that...</td>\n",
 417 |        "      <td>0</td>\n",
 418 |        "    </tr>\n",
 419 |        "    <tr>\n",
 420 |        "      <th>11</th>\n",
 421 |        "      <td>11</td>\n",
 422 |        "      <td>BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...</td>\n",
 423 |        "      <td>Chris Tomlinson</td>\n",
 424 |        "      <td>The BBC produced spoof on the “Real Housewives...</td>\n",
 425 |        "      <td>0</td>\n",
 426 |        "    </tr>\n",
 427 |        "  </tbody>\n",
 428 |        "</table>\n",
 429 |        "</div>"
 430 |       ],
 431 |       "text/plain": [
 432 |        "    id                                              title  \\\n",
 433 |        "0    0  House Dem Aide: We Didn’t Even See Comey’s Let...   \n",
 434 |        "1    1  FLYNN: Hillary Clinton, Big Woman on Campus - ...   \n",
 435 |        "2    2                  Why the Truth Might Get You Fired   \n",
 436 |        "3    3  15 Civilians Killed In Single US Airstrike Hav...   \n",
 437 |        "4    4  Iranian woman jailed for fictional unpublished...   \n",
 438 |        "5    5  Jackie Mason: Hollywood Would Love Trump if He...   \n",
 439 |        "7    7  Benoît Hamon Wins French Socialist Party’s Pre...   \n",
 440 |        "9    9  A Back-Channel Plan for Ukraine and Russia, Co...   \n",
 441 |        "10  10  Obama’s Organizing for Action Partners with So...   \n",
 442 |        "11  11  BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...   \n",
 443 |        "\n",
 444 |        "                          author  \\\n",
 445 |        "0                  Darrell Lucus   \n",
 446 |        "1                Daniel J. Flynn   \n",
 447 |        "2             Consortiumnews.com   \n",
 448 |        "3                Jessica Purkiss   \n",
 449 |        "4                 Howard Portnoy   \n",
 450 |        "5                Daniel Nussbaum   \n",
 451 |        "7                Alissa J. Rubin   \n",
 452 |        "9   Megan Twohey and Scott Shane   \n",
 453 |        "10                   Aaron Klein   \n",
 454 |        "11               Chris Tomlinson   \n",
 455 |        "\n",
 456 |        "                                                 text  label  \n",
 457 |        "0   House Dem Aide: We Didn’t Even See Comey’s Let...      1  \n",
 458 |        "1   Ever get the feeling your life circles the rou...      0  \n",
 459 |        "2   Why the Truth Might Get You Fired October 29, ...      1  \n",
 460 |        "3   Videos 15 Civilians Killed In Single US Airstr...      1  \n",
 461 |        "4   Print \\nAn Iranian woman has been sentenced to...      1  \n",
 462 |        "5   In these trying times, Jackie Mason is the Voi...      0  \n",
 463 |        "7   PARIS  —   France chose an idealistic, traditi...      0  \n",
 464 |        "9   A week before Michael T. Flynn resigned as nat...      0  \n",
 465 |        "10  Organizing for Action, the activist group that...      0  \n",
 466 |        "11  The BBC produced spoof on the “Real Housewives...      0  "
 467 |       ]
 468 |      },
 469 |      "execution_count": 123,
 470 |      "metadata": {},
 471 |      "output_type": "execute_result"
 472 |     }
 473 |    ],
 474 |    "source": [
 475 |     "df.head(10)"
 476 |    ]
 477 |   },
 478 |   {
 479 |    "cell_type": "code",
 480 |    "execution_count": 124,
 481 |    "metadata": {},
 482 |    "outputs": [],
 483 |    "source": [
 484 |     "messages=df.copy()"
 485 |    ]
 486 |   },
 487 |   {
 488 |    "cell_type": "code",
 489 |    "execution_count": 125,
 490 |    "metadata": {},
 491 |    "outputs": [],
 492 |    "source": [
 493 |     "messages.reset_index(inplace=True)"
 494 |    ]
 495 |   },
 496 |   {
 497 |    "cell_type": "code",
 498 |    "execution_count": 126,
 499 |    "metadata": {},
 500 |    "outputs": [
 501 |     {
 502 |      "data": {
 503 |       "text/html": [
 504 |        "<div>\n",
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 519 |        "  <thead>\n",
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 528 |        "    </tr>\n",
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 541 |        "      <th>1</th>\n",
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 543 |        "      <td>1</td>\n",
 544 |        "      <td>FLYNN: Hillary Clinton, Big Woman on Campus - ...</td>\n",
 545 |        "      <td>Daniel J. Flynn</td>\n",
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 547 |        "      <td>0</td>\n",
 548 |        "    </tr>\n",
 549 |        "    <tr>\n",
 550 |        "      <th>2</th>\n",
 551 |        "      <td>2</td>\n",
 552 |        "      <td>2</td>\n",
 553 |        "      <td>Why the Truth Might Get You Fired</td>\n",
 554 |        "      <td>Consortiumnews.com</td>\n",
 555 |        "      <td>Why the Truth Might Get You Fired October 29, ...</td>\n",
 556 |        "      <td>1</td>\n",
 557 |        "    </tr>\n",
 558 |        "    <tr>\n",
 559 |        "      <th>3</th>\n",
 560 |        "      <td>3</td>\n",
 561 |        "      <td>3</td>\n",
 562 |        "      <td>15 Civilians Killed In Single US Airstrike Hav...</td>\n",
 563 |        "      <td>Jessica Purkiss</td>\n",
 564 |        "      <td>Videos 15 Civilians Killed In Single US Airstr...</td>\n",
 565 |        "      <td>1</td>\n",
 566 |        "    </tr>\n",
 567 |        "    <tr>\n",
 568 |        "      <th>4</th>\n",
 569 |        "      <td>4</td>\n",
 570 |        "      <td>4</td>\n",
 571 |        "      <td>Iranian woman jailed for fictional unpublished...</td>\n",
 572 |        "      <td>Howard Portnoy</td>\n",
 573 |        "      <td>Print \\nAn Iranian woman has been sentenced to...</td>\n",
 574 |        "      <td>1</td>\n",
 575 |        "    </tr>\n",
 576 |        "    <tr>\n",
 577 |        "      <th>5</th>\n",
 578 |        "      <td>5</td>\n",
 579 |        "      <td>5</td>\n",
 580 |        "      <td>Jackie Mason: Hollywood Would Love Trump if He...</td>\n",
 581 |        "      <td>Daniel Nussbaum</td>\n",
 582 |        "      <td>In these trying times, Jackie Mason is the Voi...</td>\n",
 583 |        "      <td>0</td>\n",
 584 |        "    </tr>\n",
 585 |        "    <tr>\n",
 586 |        "      <th>6</th>\n",
 587 |        "      <td>7</td>\n",
 588 |        "      <td>7</td>\n",
 589 |        "      <td>Benoît Hamon Wins French Socialist Party’s Pre...</td>\n",
 590 |        "      <td>Alissa J. Rubin</td>\n",
 591 |        "      <td>PARIS  —   France chose an idealistic, traditi...</td>\n",
 592 |        "      <td>0</td>\n",
 593 |        "    </tr>\n",
 594 |        "    <tr>\n",
 595 |        "      <th>7</th>\n",
 596 |        "      <td>9</td>\n",
 597 |        "      <td>9</td>\n",
 598 |        "      <td>A Back-Channel Plan for Ukraine and Russia, Co...</td>\n",
 599 |        "      <td>Megan Twohey and Scott Shane</td>\n",
 600 |        "      <td>A week before Michael T. Flynn resigned as nat...</td>\n",
 601 |        "      <td>0</td>\n",
 602 |        "    </tr>\n",
 603 |        "    <tr>\n",
 604 |        "      <th>8</th>\n",
 605 |        "      <td>10</td>\n",
 606 |        "      <td>10</td>\n",
 607 |        "      <td>Obama’s Organizing for Action Partners with So...</td>\n",
 608 |        "      <td>Aaron Klein</td>\n",
 609 |        "      <td>Organizing for Action, the activist group that...</td>\n",
 610 |        "      <td>0</td>\n",
 611 |        "    </tr>\n",
 612 |        "    <tr>\n",
 613 |        "      <th>9</th>\n",
 614 |        "      <td>11</td>\n",
 615 |        "      <td>11</td>\n",
 616 |        "      <td>BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...</td>\n",
 617 |        "      <td>Chris Tomlinson</td>\n",
 618 |        "      <td>The BBC produced spoof on the “Real Housewives...</td>\n",
 619 |        "      <td>0</td>\n",
 620 |        "    </tr>\n",
 621 |        "  </tbody>\n",
 622 |        "</table>\n",
 623 |        "</div>"
 624 |       ],
 625 |       "text/plain": [
 626 |        "   index  id                                              title  \\\n",
 627 |        "0      0   0  House Dem Aide: We Didn’t Even See Comey’s Let...   \n",
 628 |        "1      1   1  FLYNN: Hillary Clinton, Big Woman on Campus - ...   \n",
 629 |        "2      2   2                  Why the Truth Might Get You Fired   \n",
 630 |        "3      3   3  15 Civilians Killed In Single US Airstrike Hav...   \n",
 631 |        "4      4   4  Iranian woman jailed for fictional unpublished...   \n",
 632 |        "5      5   5  Jackie Mason: Hollywood Would Love Trump if He...   \n",
 633 |        "6      7   7  Benoît Hamon Wins French Socialist Party’s Pre...   \n",
 634 |        "7      9   9  A Back-Channel Plan for Ukraine and Russia, Co...   \n",
 635 |        "8     10  10  Obama’s Organizing for Action Partners with So...   \n",
 636 |        "9     11  11  BBC Comedy Sketch \"Real Housewives of ISIS\" Ca...   \n",
 637 |        "\n",
 638 |        "                         author  \\\n",
 639 |        "0                 Darrell Lucus   \n",
 640 |        "1               Daniel J. Flynn   \n",
 641 |        "2            Consortiumnews.com   \n",
 642 |        "3               Jessica Purkiss   \n",
 643 |        "4                Howard Portnoy   \n",
 644 |        "5               Daniel Nussbaum   \n",
 645 |        "6               Alissa J. Rubin   \n",
 646 |        "7  Megan Twohey and Scott Shane   \n",
 647 |        "8                   Aaron Klein   \n",
 648 |        "9               Chris Tomlinson   \n",
 649 |        "\n",
 650 |        "                                                text  label  \n",
 651 |        "0  House Dem Aide: We Didn’t Even See Comey’s Let...      1  \n",
 652 |        "1  Ever get the feeling your life circles the rou...      0  \n",
 653 |        "2  Why the Truth Might Get You Fired October 29, ...      1  \n",
 654 |        "3  Videos 15 Civilians Killed In Single US Airstr...      1  \n",
 655 |        "4  Print \\nAn Iranian woman has been sentenced to...      1  \n",
 656 |        "5  In these trying times, Jackie Mason is the Voi...      0  \n",
 657 |        "6  PARIS  —   France chose an idealistic, traditi...      0  \n",
 658 |        "7  A week before Michael T. Flynn resigned as nat...      0  \n",
 659 |        "8  Organizing for Action, the activist group that...      0  \n",
 660 |        "9  The BBC produced spoof on the “Real Housewives...      0  "
 661 |       ]
 662 |      },
 663 |      "execution_count": 126,
 664 |      "metadata": {},
 665 |      "output_type": "execute_result"
 666 |     }
 667 |    ],
 668 |    "source": [
 669 |     "messages.head(10)"
 670 |    ]
 671 |   },
 672 |   {
 673 |    "cell_type": "code",
 674 |    "execution_count": 51,
 675 |    "metadata": {},
 676 |    "outputs": [
 677 |     {
 678 |      "data": {
 679 |       "text/plain": [
 680 |        "'Benoît Hamon Wins French Socialist Party’s Presidential Nomination - The New York Times'"
 681 |       ]
 682 |      },
 683 |      "execution_count": 51,
 684 |      "metadata": {},
 685 |      "output_type": "execute_result"
 686 |     }
 687 |    ],
 688 |    "source": [
 689 |     "messages['title'][6]"
 690 |    ]
 691 |   },
 692 |   {
 693 |    "cell_type": "code",
 694 |    "execution_count": 127,
 695 |    "metadata": {},
 696 |    "outputs": [],
 697 |    "source": [
 698 |     "from nltk.corpus import stopwords\n",
 699 |     "from nltk.stem.porter import PorterStemmer\n",
 700 |     "ps = PorterStemmer()\n",
 701 |     "corpus = []\n",
 702 |     "for i in range(0, len(messages)):\n",
 703 |     "    review = re.sub('[^a-zA-Z]', ' ', messages['title'][i])\n",
 704 |     "    review = review.lower()\n",
 705 |     "    review = review.split()\n",
 706 |     "    \n",
 707 |     "    review = [ps.stem(word) for word in review if not word in stopwords.words('english')]\n",
 708 |     "    review = ' '.join(review)\n",
 709 |     "    corpus.append(review)"
 710 |    ]
 711 |   },
 712 |   {
 713 |    "cell_type": "code",
 714 |    "execution_count": 132,
 715 |    "metadata": {},
 716 |    "outputs": [
 717 |     {
 718 |      "data": {
 719 |       "text/plain": [
 720 |        "'civilian kill singl us airstrik identifi'"
 721 |       ]
 722 |      },
 723 |      "execution_count": 132,
 724 |      "metadata": {},
 725 |      "output_type": "execute_result"
 726 |     }
 727 |    ],
 728 |    "source": [
 729 |     "corpus[3]"
 730 |    ]
 731 |   },
 732 |   {
 733 |    "cell_type": "code",
 734 |    "execution_count": 66,
 735 |    "metadata": {},
 736 |    "outputs": [],
 737 |    "source": [
 738 |     "## Applying Countvectorizer\n",
 739 |     "# Creating the Bag of Words model\n",
 740 |     "from sklearn.feature_extraction.text import CountVectorizer\n",
 741 |     "cv = CountVectorizer(max_features=5000,ngram_range=(1,3))\n",
 742 |     "X = cv.fit_transform(corpus).toarray()"
 743 |    ]
 744 |   },
 745 |   {
 746 |    "cell_type": "code",
 747 |    "execution_count": 67,
 748 |    "metadata": {},
 749 |    "outputs": [
 750 |     {
 751 |      "data": {
 752 |       "text/plain": [
 753 |        "(18285, 5000)"
 754 |       ]
 755 |      },
 756 |      "execution_count": 67,
 757 |      "metadata": {},
 758 |      "output_type": "execute_result"
 759 |     }
 760 |    ],
 761 |    "source": [
 762 |     "X.shape"
 763 |    ]
 764 |   },
 765 |   {
 766 |    "cell_type": "code",
 767 |    "execution_count": 68,
 768 |    "metadata": {},
 769 |    "outputs": [],
 770 |    "source": [
 771 |     "y=messages['label']"
 772 |    ]
 773 |   },
 774 |   {
 775 |    "cell_type": "code",
 776 |    "execution_count": 69,
 777 |    "metadata": {},
 778 |    "outputs": [],
 779 |    "source": [
 780 |     "## Divide the dataset into Train and Test\n",
 781 |     "from sklearn.model_selection import train_test_split\n",
 782 |     "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=0)"
 783 |    ]
 784 |   },
 785 |   {
 786 |    "cell_type": "code",
 787 |    "execution_count": 70,
 788 |    "metadata": {},
 789 |    "outputs": [
 790 |     {
 791 |      "data": {
 792 |       "text/plain": [
 793 |        "['abandon',\n",
 794 |        " 'abc',\n",
 795 |        " 'abc news',\n",
 796 |        " 'abduct',\n",
 797 |        " 'abe',\n",
 798 |        " 'abedin',\n",
 799 |        " 'abl',\n",
 800 |        " 'abort',\n",
 801 |        " 'abroad',\n",
 802 |        " 'absolut',\n",
 803 |        " 'abstain',\n",
 804 |        " 'absurd',\n",
 805 |        " 'abus',\n",
 806 |        " 'abus new',\n",
 807 |        " 'abus new york',\n",
 808 |        " 'academi',\n",
 809 |        " 'accept',\n",
 810 |        " 'access',\n",
 811 |        " 'access pipelin',\n",
 812 |        " 'access pipelin protest']"
 813 |       ]
 814 |      },
 815 |      "execution_count": 70,
 816 |      "metadata": {},
 817 |      "output_type": "execute_result"
 818 |     }
 819 |    ],
 820 |    "source": [
 821 |     "cv.get_feature_names()[:20]"
 822 |    ]
 823 |   },
 824 |   {
 825 |    "cell_type": "code",
 826 |    "execution_count": 110,
 827 |    "metadata": {},
 828 |    "outputs": [
 829 |     {
 830 |      "data": {
 831 |       "text/plain": [
 832 |        "{'analyzer': 'word',\n",
 833 |        " 'binary': False,\n",
 834 |        " 'decode_error': 'strict',\n",
 835 |        " 'dtype': numpy.int64,\n",
 836 |        " 'encoding': 'utf-8',\n",
 837 |        " 'input': 'content',\n",
 838 |        " 'lowercase': True,\n",
 839 |        " 'max_df': 1.0,\n",
 840 |        " 'max_features': 5000,\n",
 841 |        " 'min_df': 1,\n",
 842 |        " 'ngram_range': (1, 3),\n",
 843 |        " 'preprocessor': None,\n",
 844 |        " 'stop_words': None,\n",
 845 |        " 'strip_accents': None,\n",
 846 |        " 'token_pattern': '(?u)\\\\b\\\\w\\\\w+\\\\b',\n",
 847 |        " 'tokenizer': None,\n",
 848 |        " 'vocabulary': None}"
 849 |       ]
 850 |      },
 851 |      "execution_count": 110,
 852 |      "metadata": {},
 853 |      "output_type": "execute_result"
 854 |     }
 855 |    ],
 856 |    "source": [
 857 |     "cv.get_params()"
 858 |    ]
 859 |   },
 860 |   {
 861 |    "cell_type": "code",
 862 |    "execution_count": 71,
 863 |    "metadata": {},
 864 |    "outputs": [],
 865 |    "source": [
 866 |     "count_df = pd.DataFrame(X_train, columns=cv.get_feature_names())"
 867 |    ]
 868 |   },
 869 |   {
 870 |    "cell_type": "code",
 871 |    "execution_count": 73,
 872 |    "metadata": {},
 873 |    "outputs": [
 874 |     {
 875 |      "data": {
 876 |       "text/html": [
 877 |        "<div>\n",
 878 |        "<style scoped>\n",
 879 |        "    .dataframe tbody tr th:only-of-type {\n",
 880 |        "        vertical-align: middle;\n",
 881 |        "    }\n",
 882 |        "\n",
 883 |        "    .dataframe tbody tr th {\n",
 884 |        "        vertical-align: top;\n",
 885 |        "    }\n",
 886 |        "\n",
 887 |        "    .dataframe thead th {\n",
 888 |        "        text-align: right;\n",
 889 |        "    }\n",
 890 |        "</style>\n",
 891 |        "<table border=\"1\" class=\"dataframe\">\n",
 892 |        "  <thead>\n",
 893 |        "    <tr style=\"text-align: right;\">\n",
 894 |        "      <th></th>\n",
 895 |        "      <th>abandon</th>\n",
 896 |        "      <th>abc</th>\n",
 897 |        "      <th>abc news</th>\n",
 898 |        "      <th>abduct</th>\n",
 899 |        "      <th>abe</th>\n",
 900 |        "      <th>abedin</th>\n",
 901 |        "      <th>abl</th>\n",
 902 |        "      <th>abort</th>\n",
 903 |        "      <th>abroad</th>\n",
 904 |        "      <th>absolut</th>\n",
 905 |        "      <th>...</th>\n",
 906 |        "      <th>zero</th>\n",
 907 |        "      <th>zika</th>\n",
 908 |        "      <th>zika viru</th>\n",
 909 |        "      <th>zionist</th>\n",
 910 |        "      <th>zone</th>\n",
 911 |        "      <th>zone new</th>\n",
 912 |        "      <th>zone new york</th>\n",
 913 |        "      <th>zoo</th>\n",
 914 |        "      <th>zu</th>\n",
 915 |        "      <th>zuckerberg</th>\n",
 916 |        "    </tr>\n",
 917 |        "  </thead>\n",
 918 |        "  <tbody>\n",
 919 |        "    <tr>\n",
 920 |        "      <th>0</th>\n",
 921 |        "      <td>0</td>\n",
 922 |        "      <td>0</td>\n",
 923 |        "      <td>0</td>\n",
 924 |        "      <td>0</td>\n",
 925 |        "      <td>0</td>\n",
 926 |        "      <td>0</td>\n",
 927 |        "      <td>0</td>\n",
 928 |        "      <td>0</td>\n",
 929 |        "      <td>0</td>\n",
 930 |        "      <td>0</td>\n",
 931 |        "      <td>...</td>\n",
 932 |        "      <td>0</td>\n",
 933 |        "      <td>0</td>\n",
 934 |        "      <td>0</td>\n",
 935 |        "      <td>0</td>\n",
 936 |        "      <td>0</td>\n",
 937 |        "      <td>0</td>\n",
 938 |        "      <td>0</td>\n",
 939 |        "      <td>0</td>\n",
 940 |        "      <td>0</td>\n",
 941 |        "      <td>0</td>\n",
 942 |        "    </tr>\n",
 943 |        "    <tr>\n",
 944 |        "      <th>1</th>\n",
 945 |        "      <td>0</td>\n",
 946 |        "      <td>0</td>\n",
 947 |        "      <td>0</td>\n",
 948 |        "      <td>0</td>\n",
 949 |        "      <td>0</td>\n",
 950 |        "      <td>0</td>\n",
 951 |        "      <td>0</td>\n",
 952 |        "      <td>0</td>\n",
 953 |        "      <td>0</td>\n",
 954 |        "      <td>0</td>\n",
 955 |        "      <td>...</td>\n",
 956 |        "      <td>0</td>\n",
 957 |        "      <td>0</td>\n",
 958 |        "      <td>0</td>\n",
 959 |        "      <td>0</td>\n",
 960 |        "      <td>0</td>\n",
 961 |        "      <td>0</td>\n",
 962 |        "      <td>0</td>\n",
 963 |        "      <td>0</td>\n",
 964 |        "      <td>0</td>\n",
 965 |        "      <td>0</td>\n",
 966 |        "    </tr>\n",
 967 |        "    <tr>\n",
 968 |        "      <th>2</th>\n",
 969 |        "      <td>0</td>\n",
 970 |        "      <td>0</td>\n",
 971 |        "      <td>0</td>\n",
 972 |        "      <td>0</td>\n",
 973 |        "      <td>0</td>\n",
 974 |        "      <td>0</td>\n",
 975 |        "      <td>0</td>\n",
 976 |        "      <td>0</td>\n",
 977 |        "      <td>0</td>\n",
 978 |        "      <td>0</td>\n",
 979 |        "      <td>...</td>\n",
 980 |        "      <td>0</td>\n",
 981 |        "      <td>0</td>\n",
 982 |        "      <td>0</td>\n",
 983 |        "      <td>0</td>\n",
 984 |        "      <td>0</td>\n",
 985 |        "      <td>0</td>\n",
 986 |        "      <td>0</td>\n",
 987 |        "      <td>0</td>\n",
 988 |        "      <td>0</td>\n",
 989 |        "      <td>0</td>\n",
 990 |        "    </tr>\n",
 991 |        "    <tr>\n",
 992 |        "      <th>3</th>\n",
 993 |        "      <td>0</td>\n",
 994 |        "      <td>0</td>\n",
 995 |        "      <td>0</td>\n",
 996 |        "      <td>0</td>\n",
 997 |        "      <td>0</td>\n",
 998 |        "      <td>0</td>\n",
 999 |        "      <td>0</td>\n",
1000 |        "      <td>0</td>\n",
1001 |        "      <td>0</td>\n",
1002 |        "      <td>0</td>\n",
1003 |        "      <td>...</td>\n",
1004 |        "      <td>0</td>\n",
1005 |        "      <td>0</td>\n",
1006 |        "      <td>0</td>\n",
1007 |        "      <td>0</td>\n",
1008 |        "      <td>0</td>\n",
1009 |        "      <td>0</td>\n",
1010 |        "      <td>0</td>\n",
1011 |        "      <td>0</td>\n",
1012 |        "      <td>0</td>\n",
1013 |        "      <td>0</td>\n",
1014 |        "    </tr>\n",
1015 |        "    <tr>\n",
1016 |        "      <th>4</th>\n",
1017 |        "      <td>0</td>\n",
1018 |        "      <td>0</td>\n",
1019 |        "      <td>0</td>\n",
1020 |        "      <td>0</td>\n",
1021 |        "      <td>0</td>\n",
1022 |        "      <td>0</td>\n",
1023 |        "      <td>0</td>\n",
1024 |        "      <td>0</td>\n",
1025 |        "      <td>0</td>\n",
1026 |        "      <td>1</td>\n",
1027 |        "      <td>...</td>\n",
1028 |        "      <td>0</td>\n",
1029 |        "      <td>0</td>\n",
1030 |        "      <td>0</td>\n",
1031 |        "      <td>0</td>\n",
1032 |        "      <td>0</td>\n",
1033 |        "      <td>0</td>\n",
1034 |        "      <td>0</td>\n",
1035 |        "      <td>0</td>\n",
1036 |        "      <td>0</td>\n",
1037 |        "      <td>0</td>\n",
1038 |        "    </tr>\n",
1039 |        "  </tbody>\n",
1040 |        "</table>\n",
1041 |        "<p>5 rows × 5000 columns</p>\n",
1042 |        "</div>"
1043 |       ],
1044 |       "text/plain": [
1045 |        "   abandon  abc  abc news  abduct  abe  abedin  abl  abort  abroad  absolut  \\\n",
1046 |        "0        0    0         0       0    0       0    0      0       0        0   \n",
1047 |        "1        0    0         0       0    0       0    0      0       0        0   \n",
1048 |        "2        0    0         0       0    0       0    0      0       0        0   \n",
1049 |        "3        0    0         0       0    0       0    0      0       0        0   \n",
1050 |        "4        0    0         0       0    0       0    0      0       0        1   \n",
1051 |        "\n",
1052 |        "      ...      zero  zika  zika viru  zionist  zone  zone new  zone new york  \\\n",
1053 |        "0     ...         0     0          0        0     0         0              0   \n",
1054 |        "1     ...         0     0          0        0     0         0              0   \n",
1055 |        "2     ...         0     0          0        0     0         0              0   \n",
1056 |        "3     ...         0     0          0        0     0         0              0   \n",
1057 |        "4     ...         0     0          0        0     0         0              0   \n",
1058 |        "\n",
1059 |        "   zoo  zu  zuckerberg  \n",
1060 |        "0    0   0           0  \n",
1061 |        "1    0   0           0  \n",
1062 |        "2    0   0           0  \n",
1063 |        "3    0   0           0  \n",
1064 |        "4    0   0           0  \n",
1065 |        "\n",
1066 |        "[5 rows x 5000 columns]"
1067 |       ]
1068 |      },
1069 |      "execution_count": 73,
1070 |      "metadata": {},
1071 |      "output_type": "execute_result"
1072 |     }
1073 |    ],
1074 |    "source": [
1075 |     "count_df.head()"
1076 |    ]
1077 |   },
1078 |   {
1079 |    "cell_type": "code",
1080 |    "execution_count": 77,
1081 |    "metadata": {},
1082 |    "outputs": [],
1083 |    "source": [
1084 |     "import matplotlib.pyplot as plt"
1085 |    ]
1086 |   },
1087 |   {
1088 |    "cell_type": "code",
1089 |    "execution_count": 78,
1090 |    "metadata": {},
1091 |    "outputs": [],
1092 |    "source": [
1093 |     "def plot_confusion_matrix(cm, classes,\n",
1094 |     "                          normalize=False,\n",
1095 |     "                          title='Confusion matrix',\n",
1096 |     "                          cmap=plt.cm.Blues):\n",
1097 |     "    \"\"\"\n",
1098 |     "    See full source and example: \n",
1099 |     "    http://scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html\n",
1100 |     "    \n",
1101 |     "    This function prints and plots the confusion matrix.\n",
1102 |     "    Normalization can be applied by setting `normalize=True`.\n",
1103 |     "    \"\"\"\n",
1104 |     "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
1105 |     "    plt.title(title)\n",
1106 |     "    plt.colorbar()\n",
1107 |     "    tick_marks = np.arange(len(classes))\n",
1108 |     "    plt.xticks(tick_marks, classes, rotation=45)\n",
1109 |     "    plt.yticks(tick_marks, classes)\n",
1110 |     "\n",
1111 |     "    if normalize:\n",
1112 |     "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
1113 |     "        print(\"Normalized confusion matrix\")\n",
1114 |     "    else:\n",
1115 |     "        print('Confusion matrix, without normalization')\n",
1116 |     "\n",
1117 |     "    thresh = cm.max() / 2.\n",
1118 |     "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
1119 |     "        plt.text(j, i, cm[i, j],\n",
1120 |     "                 horizontalalignment=\"center\",\n",
1121 |     "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
1122 |     "\n",
1123 |     "    plt.tight_layout()\n",
1124 |     "    plt.ylabel('True label')\n",
1125 |     "    plt.xlabel('Predicted label')"
1126 |    ]
1127 |   },
1128 |   {
1129 |    "cell_type": "markdown",
1130 |    "metadata": {},
1131 |    "source": [
1132 |     "### MultinomialNB Algorithm"
1133 |    ]
1134 |   },
1135 |   {
1136 |    "cell_type": "code",
1137 |    "execution_count": 79,
1138 |    "metadata": {},
1139 |    "outputs": [],
1140 |    "source": [
1141 |     "\n",
1142 |     "from sklearn.naive_bayes import MultinomialNB\n",
1143 |     "classifier=MultinomialNB()"
1144 |    ]
1145 |   },
1146 |   {
1147 |    "cell_type": "code",
1148 |    "execution_count": 96,
1149 |    "metadata": {},
1150 |    "outputs": [],
1151 |    "source": [
1152 |     "from sklearn import metrics\n",
1153 |     "import numpy as np\n",
1154 |     "import itertools"
1155 |    ]
1156 |   },
1157 |   {
1158 |    "cell_type": "code",
1159 |    "execution_count": 97,
1160 |    "metadata": {},
1161 |    "outputs": [
1162 |     {
1163 |      "name": "stdout",
1164 |      "output_type": "stream",
1165 |      "text": [
1166 |       "accuracy:   0.902\n",
1167 |       "Confusion matrix, without normalization\n"
1168 |      ]
1169 |     },
1170 |     {
1171 |      "data": {
1172 |       "image/png": 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6wwOX/0Ss0Uz7v6tKHYItpQHb9WfUqyMyzYKtO/eMbofWfxnl3ct3H1nMXAGl0NijAgYCK5PcCTEJ+D5JC7ba28CBwL2SvtfIsZlZDgiQ6l/yrLET62DgpxHRIyJ6AOsAu0pqW10hIv4POB54SNJaNe/GzJoujwooWpo8dyO9LxcgIr6W9BywV2HdiBgqaTXgUUnbp8WFfayvR8ThjRG3mTW+nOfNejVYYl28fzUiZgOdaqi3X8Hb2wrKbwVuTd/2yD5CM8urvLdI6+O5AswsVySorHRiNTPLVJk3WJ1YzSx/3BVgZpalMhhOVR8nVjPLlWQca3lnVidWM8uZ/I9TrY8Tq5nlTkWZzxXgxGpm+eI+VjOzbLmP1cysAZR5XnViNbP8cYvVzCxjZZ5XnVjNLF8kjwowM8uYx7GamWWuzPOqE6uZ5Y9brGZmWfINAmZm2RJQUdHYj+PLVnlHb2ZNUhZPaZXUXdKTksZKGiPp5LS8k6ThksanPzum5ZJ0taQJkl6XtEXBvo5I64+XdER9x3ZiNbPcyegprfOB0yNiY2Br4ERJmwBnAk9ERE/gifQ9wCCgZ7ocC1yXxtIJOA/oD/QDzqtOxrVxYjWzfCmitVpMXo2IqRHxavr6K2As0BXYG7g9rXY7sE/6em/gjki8CHSQ1IXk6dLDI+KziPgcGA4MrOvY7mM1s1xR8eNYV5U0ouD9jRFxY437lHoAmwMvAWtExFRIkq+k1dNqXYEPCzabnJbVVl4rJ1Yzy50iRwXMiIgt69+X2gH/Ak6JiC/rSNo1rYg6ymvlrgAzy53KCtW7FENSS5KkeldE3J8Wf5x+xSf9OT0tnwx0L9i8G/BRHeW1cmI1s1xJ+lCX/+KVkko3A2Mj4vKCVUOA6iv7RwD/Lig/PB0dsDUwM+0yGAbsKqljetFq17SsVrV2BUhaqa4NI+LLutabmS2rjOZg2Q44DHhD0ui07GzgYuA+SccAHwAHpOseBnYHJgCzgaMAIuIzSb8DXknrXRgRn9V14Lr6WMewZP9C9fsA1irq1MzMllIWt7RGxHPU3D8KsFMN9QM4sZZ93QLcUuyxa02sEdG9tnVmZg2p3G9pLaqPVdLBks5OX3eT1LdhwzKz5kqkQ67q+S/P6k2skq4BdiTpq4Ck7+H6hgzKzJox1T8ioNhRAaVSzDjWbSNiC0mjYGFHbqsGjsvMmrFy7wooJrHOk1RBOiBW0irAggaNysyaLQEVZZ5Zi+ljvZZkgO1qki4AngP+1KBRmVmzlsVcAaVUb4s1Iu6QNBLYOS06ICLebNiwzKw5ay5PEKgE5pF0B/huLTNrMOXQIq1PMaMCzgHuBtYkuUf275LOaujAzKz5qpTqXfKsmBbrT4C+ETEbQNJFwEjgjw0ZmJk1X82hK+D9xeq1AN5tmHDMrLlLRgWUOorlU9ckLFeQ9KnOBsZIGpa+35VkZICZWfaKf/RKbtXVYq2+8j8GeKig/MWGC8fMrPwvXtU1CcvNjRmImVm1ptxiBUDSesBFwCbACtXlEbFBA8ZlZs2UIPdzAdSnmDGptwG3kpzvIOA+4J4GjMnMmjkVseRZMYm1bUQMA4iIiRFxLslsV2ZmmZOSuQLqW/KsmOFW36TPjpko6XhgCrB6PduYmS2znOfNehWTWE8F2gG/JOlrXRk4uiGDMrPmrclfvIqIl9KXX/HdZNdmZg1C5H8i6/rUdYPAA6RzsNYkIvZrkIjMrHlrApOw1NVivabRomgAm2+8Fs+/VNan0OxscOqQUodgS2na5C8aZL9NtisgIp5ozEDMzKqV+9ykxc7HambWKEQTbrGamZVKmV+7Kj6xSmodEd80ZDBmZlIzuKVVUj9JbwDj0/e9Jf2lwSMzs2arQvUveVZMH/HVwJ7ApwAR8Rq+pdXMGlCTf0orUBER7y/WmVzVQPGYWTOXPEEg55mzHsUk1g8l9QNCUiXwC+Cdhg3LzJqzch9uVUz8JwCnAWsBHwNbp2VmZg0iq64ASbdImi7pzYKy8yVNkTQ6XXYvWHeWpAmSxknaraB8YFo2QdKZ9R23mLkCpgMHF3caZmbLR8p0roDbSO4ivWOx8isi4s+LHXcTklz3PWBN4HFJ1RP6XwvsAkwGXpE0JCLequ2gxTxB4CZqmDMgIo6tb1szs2WRVV6NiGck9Siy+t7APemw0vckTQD6pesmRMS7AJLuSesue2IFHi94vQKwL/BhkYGamS2Vpbh4taqkEQXvb4yIG4s8zEmSDgdGAKdHxOdAVxZ9WOrktAwWzXmTgf517byYroB7C99LuhMYXn/cZmbLpsg+1BkRseUy7P464Hck38R/B1xGMsd0TUcNar4WVevMf7Bst7SuA6y9DNuZmdWvgW8AiIiPFx4q6eocmr6dDHQvqNoN+Ch9XVt5jYrpY/2c77JzBfAZUO9VMTOzZaUGfFygpC4RMTV9uy9QPWJgCPB3SZeTXLzqCbxM0pLtKWkdkkdTHQwcUtcx6kys6bOueqc7A1gQEXU2gc3MloeAFhkNZJV0NzCApD92MnAeMEBSH5IG4yTgOICIGCPpPpKLUvOBEyOiKt3PScAwoBK4JSLG1HXcOhNrRISkByKi73Kcm5nZUslq2sCIGFxD8c111L+I5Nl+i5c/DDxc7HGL+bvwsqQtit2hmdnySEYFlPckLHU986pFRMwHvg/8TNJE4GuS846IcLI1s+yVwSQr9amrK+BlYAtgn0aKxcwMaNqTsAggIiY2UixmZgu7AspZXYl1NUmn1bYyIi5vgHjMrNkTlU24xVoJtKPmuxHMzBpE8jDBUkexfOpKrFMj4sJGi8TMDBr8zqvGUG8fq5lZY2vKF692arQozMxSTborICI+a8xAzMyqlfvjr5dldiszswYjyv+ZV06sZpYvym6ugFJxYjWz3CnvtOrEamY5sxSPZsktJ1Yzy53yTqtOrGaWO6LCowLMzLLjUQFmZg3AowLMzDJW3mnVidXM8sbjWM3MsuU+VjOzBuBxrGZmGSvzvOrEamb5knQFlHdmdWI1s9xxi9XMLFNCbrGamWXLLVYzswxJNOnHX5uZlUSZ51UnVjPLn3LvYy33GxyanA8//JDddt6RPptuzBa9v8c1V1+1yPorLv8zbVqKGTNmAHD5ZZfSv28f+vftQ98+vVixdSWffebnQDakLh1W4J5fbMsT5+zI42cP4Ogd1gHg9D02ZNiZA3jk1zvwt59vzRortQZg5TYtufGnWzHszAEMOWN7NujSfuG+jt5hHYafNYDHzx7AMQPWLcn55E0y0XX9S1H7km6RNF3SmwVlnSQNlzQ+/dkxLZekqyVNkPS6pC0KtjkirT9e0hH1HdeJNWdatGjBxZdcxug3xvL0cy9yw/XXMvatt4Ak6f738eF0X2uthfVPO/1XvDRyNC+NHM2Fv/8j2/9gBzp16lSq8JuFqgXB7x8Yw04XPcnelz3L4T9Yh56d23HDExPZ7eKnGPSnp3lizMecPGhDAE7ctSdvTZnJbhc/xal3juKC/XsBsEGX9gzedm32+vOz7Hbx0+zUaw16rLZiKU8tN1TEf0W6DRi4WNmZwBMR0RN4In0PMAjomS7HAtdBkoiB84D+QD/gvOpkXBsn1pzp0qULm2+R/KFs3749G220MR99NAWA/znjVC764yW1TlBx3713c+BBgxst1uZq+pff8ObkmQB8/U0VE6Z9ReeV2zBr7vyFddq2qiQied2zS3ueH5d8w5j48Sy6dWrLqu1b03ONdrw66XPmzquiakHw4vhPGbhZl0Y/nzyS6l+KERHPAIt/hdsbuD19fTuwT0H5HZF4EeggqQuwGzA8Ij6LiM+B4SyZrBfhxJpj70+axOjRo9iqX3+G/mcIa67Zlc16966x7uzZsxk+7FH22W//Ro6yeevWqQ3f67Yyo97/HIBf7bkRL164C/ts2Y3LHn4bgLFTZjKwd5Iwe6/dga6d2tClwwqMm/oV/ddfhQ5tW7JCy0p2/N7qdOm4QsnOJS9EMiqgvgVYVdKIguXYIg+xRkRMBUh/rp6WdwU+LKg3OS2rrbxWDXbxSlIV8EZ6jPeAwyLiC0k9gLHAuILql0fEHel2mwOvAgMjYljB/mZFRLuGijdvZs2axeAD9+fSy66kRYsW/OmPFzH0kcdqrf/Q0P+wzbbbuRugEbVtVckNx2zFBfePWdhavXTo21w69G1O3GV9jvzBOlz+8Dj+OnwC5+/fi0d+vQPjPvqSMZNnMn9BMOHjWVw3fAJ3nbQNs7+pYuyUL6laECU+qzwo+qv+jIjYMtMDLynqKK9VQ7ZY50REn4joRdIUP7Fg3cR0XfVyR8G6wcBz6c9mad68eQw+cH8OGnwo++y7H+9OnMj7k96jX9/ebLh+D6ZMnsw2/bZg2rRpC7f5x333cIC7ARpNiwpxw0+34oERk3n0talLrH9wxBQGpa3UWXPnc8Zdoxn0p6c55c5RdGrXmg8/nQ3AvS9+wB6XPMMBVz3PF7O/5b1Pvm7U88ilIroBlnM41sfpV3zSn9PT8slA94J63YCP6iivVWN1BbxAPU1nSK7KAT8GjgR2ldTsvhdFBMf/7Bg23GhjTj71NAB6bbopH3w0nXETJjFuwiS6duvGCy+/SufOnQGYOXMmzz3zNHv9aO9Sht6sXHpoHyZM+4r/ffLdhWWFF5522bQzEz+eBcBKbVrQsjLJBIO3XYuXJ366sIW7SrtWAKzZsQ0De3dhyIgpjXUKuaYiluUwBKi+sn8E8O+C8sPT0QFbAzPTroJhJPmoY3rRate0rFYNPo5VUiWwE3BzQfF6kkYXvP9FRDwLbAe8FxETJT0F7A7cvxTHOpbkat4iV87Lyf89/zx/v+tOevXalP59+wBwwe//wMBBu9e6zZAHH2CnXXZlxRV9RbkxbLVuJ/bv152xU77kkV/vAMAl/xnLQdusxXqrt2NBwJTPZnPWva8DsP4a7bnisM2pimD8tFn8z13f/dO/4adb0bFtK+YtWMBv7nuDmXPmleSc8iQZbpXNOFZJdwMDSPpjJ5Nc3b8YuE/SMcAHwAFp9YdJcs4EYDZwFEBEfCbpd8Arab0LI6LOMY2KaJg+nYI+1h7ASGDXiKhK+1iHpl0Ei29zLTA6Im6S9COSftkD0nVL1cfat++W8fxLI5b/RKzRbHDqkFKHYEtp2r2n8e30CZmO5t94083j1gefrLfeNut3HJlxH2tmGryPFVgbaMWifaxLSFu2+wO/lTQJ+AswSFL7urYzs6Ynw3GsJdHgfawRMRP4JXCGpJZ1VN0ZeC0iukdEj4hYG/gX340xM7NmooEvXjW4Rrl4FRGjgNeAg9Oi9SSNLlh+STIK4IHFNv0XcEj6uq2kyQXLaY0Ru5k1vga+eNXgGuzi1eL9oRGxV8HbNkXuYwjJlToiwjczmDUXec+c9fDsVmaWK0mLtLwzqxOrmeXLUsxelVdOrGaWP06sZmZZyv9wqvo4sZpZ7uR9OFV9nFjNLFfKYThVfZxYzSx/yjyzOrGaWe5kNQlLqTixmlnulHdadWI1s7xpAp2sTqxmljsebmVmliHh4VZmZpkr87zqxGpm+aMyb7I6sZpZ7pR5XnViNbP8KfO86sRqZjlU5pnVidXMcsUTXZuZZc0TXZuZNQAnVjOzLHmiazOzzHm4lZlZhprAHCxOrGaWQ2WeWZ1YzSx3PNG1mVnGyjutQkWpAzAzW4SSi1f1LUXtSpok6Q1JoyWNSMs6SRouaXz6s2NaLklXS5og6XVJWyzrKTixmlkOqYilaDtGRJ+I2DJ9fybwRET0BJ5I3wMMAnqmy7HAdcsavROrmeVK9UTXWbRYa7E3cHv6+nZgn4LyOyLxItBBUpdlOYATq5nlTpHt1VUljShYjq1hVwE8Jmlkwfo1ImIqQPpz9bS8K/BhwbaT07Kl5otXZpY7RY4KmFHw9b4220XER5JWB4ZLeruOujUdNIoJZHFusZpZ/mTUxRoRH6U/pwMPAP2Aj6u/4qc/p6fVJwPdCzbvBny0LOE7sZpZ7mSRVyWtKKl99WtgV+BNYAhwRFrtCODf6eshwOHp6ICtgZnVXQZLy10BZpYrGVycqrYG8ED6/KwWwN8j4lFJrwD3SToG+AA4IK3/MLA7MAFpKB4lAAAI9ElEQVSYDRy1rAd2YjWz3MlidquIeBfoXUP5p8BONZQHcOJyHxgnVjPLozK/9cqJ1cxyx08QMDPLlCe6NjPLVPWdV+XMw63MzDLmFquZ5U65t1idWM0sd9zHamaWIcmjAszMsufEamaWLXcFmJllzBevzMwyVuZ51YnVzPJHZd5kdWI1s1xpCndeKZkpq+mR9AnwfqnjaACrAjNKHYQtlab8ma0dEatluUNJj5L8zuozIyIGZnnsrDTZxNpUSRpRxHN+LEf8mTU/nivAzCxjTqxmZhlzYi0/N5Y6AFtq/syaGfexmpllzC1WM7OMObGamWXMibXMSVql1DGY2aKcWMuYpF2BKyV1VLnfA9hM+HNqHpxYy1SaVC8Fbo6Iz/HtyeViFQBJ/n+vCfOHW4YkDSRJqsdFxFOSugNnSyrmNkArASVWB96X9KOIWODk2nT5gy1P/YG2EfGipNWAB4DpEdFU70cve5GYDhwF3Cpp9+rkKqmy1PFZtvz1sYxI2g7YISIukLSupBdI/jjeEBE3FdTrHhEflixQq1VE3CfpW+AeSYMj4qHqlqukvZIqMbS0Udrycou1DBR8ZdwVWBkgIo4AngE6LpZUDwWultS+0QO1JUgaKOk3krapLouIB0larvdI2jNtuR4HXA+8XapYLTtusZaHlYHPgbnAwq+NEfFrSatJejIidpS0P3AqcHhEfFWiWG1ROwDHAwMljQGuAd6LiH+lIwRukzQU6AfsHhETShirZcQt1pyTtA7wR0nrAh8D7dPyNgARcTTwrqSpwNkkSfWtUsVrSxgCPA7sD8wGDgbulLRuRPwTOBD4EXBIRLxWujAtS26x5t8KwHTgOGA1YHJa3lrS3PSiyDGSzgAedlItPUkbAd9ExHsR8YKk1sApEXGKpEOAM4F2kiYDVwGdI+LbUsZs2fIkLGVAUi9gIHASsBZJK2hz4CNgHvAVsE9EzCtZkAaApN2B3wCHVX+tl9QT+BkwjuRbxU9JPrttgaci4r0ShWsNxC3WHJI0gOSzeSYivo2INyXNA9oCGwO3AW8AKwIrkQy1clItMUm7kSTV8yNigqR2QJA8lmVt4ERgUEQ8k9Z/J9yyaZLcYs0ZSSsDDwHrAFcCVRFxebpuPeAgoAtwZ0S8XLJAbRGSNgVeA3aOiP+mn9UNwGkR8bqkzUj+IP44It4tYajWCHzxKmciYiYwFPgWGA/sLuk2SfuQ9LVeSzJC4EBJK/je89Iq+P1PIrlR40BJPUgmtx6WJtWKiHgdeBbY0TcENH1OrDkhqXPB/6SXAY8AX0XEzkAr4HKScas7pD//EBFz/VWy5FoBpMPbDgXaAROBByPi0jSpLpDUh6RL4NGIqCpduNYYnFhzQNIeJBekVk1vBhBJ63TzdJjV1iQDyq8E9gNGRcRnpYrXEulEOPdIOl/SfhExl2T0xt+BbQDSpHoMcDVwU0RMKV3E1ljcx1pi6YQq5wAXRcSjklpFxLfpxCojSVpAB1bf5iipbUTMLmHIxsLP7QLgDmB1YE3gkogYn9719leSC1ePkdwgcHxEvFmqeK1xObGWkKROJF8P94uIB9MLHr8FfhUR0yUdC2wWESdVJ9ySBmzAIp/b3hHxH0ndgIuA6yLixbROK+BektuQt/L44ubFXQEllH6d3wv4bXrV+EaSr/nT0yqvATtJ2sBJNT8KPreLJa0UEZNJbt64WNKVkk4nGQp3DLC+k2rz43GsJZbOblQFjAbOjogrJVVGRFVEvCTp76WO0ZaUfm4LgJGSHiW5iHUt0InkBoCNSYZauS+8GXJXQE5I2gX4C9A/ImZKah0R35Q6LqubpJ1J+lG7RMTHaVkF0Mnz4zZf7grIiYgYTjIz1cuSOjmploeIeBzYA/ivpDXSsgVOqs2buwJyJCIeSS96PC5pS9KJ50sdl9Wt4HN7RNKWEbGg1DFZabkrIIcktYuIWaWOw5aOPzer5sRqZpYx97GamWXMidXMLGNOrGZmGXNiNTPLmBNrMyWpStJoSW9K+oektsuxrwHpk0aR9CNJZ9ZRt4Okny/DMc5Pn+tVVPlidW6T9OOlOFYPSZ4wxZaZE2vzNSci+kREL5JJtY8vXKnEUv/7iIghEXFxHVU6AEudWM3KiROrQTKz/fppS22spL8CrwLdJe0q6QVJr6Yt23aQTJsn6W1Jz5HMEUtafqSka9LXa0h6QNJr6bItcDGwXtpavjSt9ytJr0h6XdIFBfs6R9I4SY8DG9Z3EpJ+lu7nNUn/WqwVvrOkZyW9I2nPtH6lpEsLjn3c8v4izcCJtdmT1AIYRPJwQkgS2B0RsTnwNXAuyXOctgBGAKdJWgG4iWSGp+2BzrXs/mrg6YjoDWwBjCF59PPEtLX8q3Sy6J5AP6AP0FfSDyT1BQ4meRrtfsBWRZzO/RGxVXq8sSSzS1XrQfL0hT2A69NzOAaYGRFbpfv/maR1ijiOWZ18S2vz1UbS6PT1s8DNJJM1v189pyjJkws2AZ5PnxrTCngB2Ah4LyLGA0j6G3BsDcf4IXA4QPo4kpmSOi5WZ9d0GZW+b0eSaNsDD1RP6i1pSBHn1EvS70m6G9oBwwrW3Zfeajpe0rvpOewKbFbQ/7pyeux3ijiWWa2cWJuvORHRp7AgTZ5fFxYBwyNi8GL1+pDMjp8FAX+MiBsWO8Ypy3CM24B9IuI1SUcCAwrWLb6vSI/9i4goTMAoeRig2TJzV4DV5UVgO0nrQ/JYGEkbAG8D66RPPAAYXMv2TwAnpNtWSloJ+IqkNVptGHB0Qd9tV0mrkzwwcV9JbdJHnexVRLztgamSWpI82K/QAZIq0pjXBcalxz4hrY+kDSStWMRxzOrkFqvVKiI+SVt+d0tqnRafGxHvKHlszEOSZgDPAb1q2MXJwI1KHqZXBZwQES9Iej4dzvRI2s+6MfBC2mKeBfwkIl6VdC/JBODvk3RX1Oc3wEtp/TdYNIGPA54G1iB5/tRcSf9L0vf6qpKDfwLsU9xvx6x2noTFzCxj7gowM8uYE6uZWcacWM3MMubEamaWMSdWM7OMObGamWXMidXMLGP/DzqQm4mrnLKIAAAAAElFTkSuQmCC\n",
1173 |       "text/plain": [
1174 |        "<Figure size 432x288 with 2 Axes>"
1175 |       ]
1176 |      },
1177 |      "metadata": {
1178 |       "needs_background": "light"
1179 |      },
1180 |      "output_type": "display_data"
1181 |     }
1182 |    ],
1183 |    "source": [
1184 |     "classifier.fit(X_train, y_train)\n",
1185 |     "pred = classifier.predict(X_test)\n",
1186 |     "score = metrics.accuracy_score(y_test, pred)\n",
1187 |     "print(\"accuracy:   %0.3f\" % score)\n",
1188 |     "cm = metrics.confusion_matrix(y_test, pred)\n",
1189 |     "plot_confusion_matrix(cm, classes=['FAKE', 'REAL'])"
1190 |    ]
1191 |   },
1192 |   {
1193 |    "cell_type": "code",
1194 |    "execution_count": 88,
1195 |    "metadata": {},
1196 |    "outputs": [
1197 |     {
1198 |      "data": {
1199 |       "text/plain": [
1200 |        "0.9019055509527755"
1201 |       ]
1202 |      },
1203 |      "execution_count": 88,
1204 |      "metadata": {},
1205 |      "output_type": "execute_result"
1206 |     }
1207 |    ],
1208 |    "source": [
1209 |     "classifier.fit(X_train, y_train)\n",
1210 |     "pred = classifier.predict(X_test)\n",
1211 |     "score = metrics.accuracy_score(y_test, pred)\n",
1212 |     "score"
1213 |    ]
1214 |   },
1215 |   {
1216 |    "cell_type": "code",
1217 |    "execution_count": 91,
1218 |    "metadata": {},
1219 |    "outputs": [
1220 |     {
1221 |      "data": {
1222 |       "text/plain": [
1223 |        "(12250,)"
1224 |       ]
1225 |      },
1226 |      "execution_count": 91,
1227 |      "metadata": {},
1228 |      "output_type": "execute_result"
1229 |     }
1230 |    ],
1231 |    "source": [
1232 |     "y_train.shape"
1233 |    ]
1234 |   },
1235 |   {
1236 |    "cell_type": "markdown",
1237 |    "metadata": {},
1238 |    "source": [
1239 |     "### Passive Aggressive Classifier Algorithm"
1240 |    ]
1241 |   },
1242 |   {
1243 |    "cell_type": "code",
1244 |    "execution_count": 98,
1245 |    "metadata": {},
1246 |    "outputs": [],
1247 |    "source": [
1248 |     "from sklearn.linear_model import PassiveAggressiveClassifier\n",
1249 |     "linear_clf = PassiveAggressiveClassifier(n_iter=50)"
1250 |    ]
1251 |   },
1252 |   {
1253 |    "cell_type": "code",
1254 |    "execution_count": 99,
1255 |    "metadata": {},
1256 |    "outputs": [
1257 |     {
1258 |      "name": "stderr",
1259 |      "output_type": "stream",
1260 |      "text": [
1261 |       "c:\\users\\krish.naik\\appdata\\local\\continuum\\anaconda3\\envs\\nlp\\lib\\site-packages\\sklearn\\linear_model\\stochastic_gradient.py:117: DeprecationWarning: n_iter parameter is deprecated in 0.19 and will be removed in 0.21. Use max_iter and tol instead.\n",
1262 |       "  DeprecationWarning)\n"
1263 |      ]
1264 |     },
1265 |     {
1266 |      "name": "stdout",
1267 |      "output_type": "stream",
1268 |      "text": [
1269 |       "accuracy:   0.918\n",
1270 |       "Confusion matrix, without normalization\n"
1271 |      ]
1272 |     },
1273 |     {
1274 |      "data": {
1275 |       "image/png": 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\n",
1276 |       "text/plain": [
1277 |        "<Figure size 432x288 with 2 Axes>"
1278 |       ]
1279 |      },
1280 |      "metadata": {
1281 |       "needs_background": "light"
1282 |      },
1283 |      "output_type": "display_data"
1284 |     }
1285 |    ],
1286 |    "source": [
1287 |     "linear_clf.fit(X_train, y_train)\n",
1288 |     "pred = linear_clf.predict(X_test)\n",
1289 |     "score = metrics.accuracy_score(y_test, pred)\n",
1290 |     "print(\"accuracy:   %0.3f\" % score)\n",
1291 |     "cm = metrics.confusion_matrix(y_test, pred)\n",
1292 |     "plot_confusion_matrix(cm, classes=['FAKE Data', 'REAL Data'])"
1293 |    ]
1294 |   },
1295 |   {
1296 |    "cell_type": "markdown",
1297 |    "metadata": {},
1298 |    "source": [
1299 |     "### Multinomial Classifier with Hyperparameter"
1300 |    ]
1301 |   },
1302 |   {
1303 |    "cell_type": "code",
1304 |    "execution_count": 103,
1305 |    "metadata": {},
1306 |    "outputs": [],
1307 |    "source": [
1308 |     "classifier=MultinomialNB(alpha=0.1)"
1309 |    ]
1310 |   },
1311 |   {
1312 |    "cell_type": "code",
1313 |    "execution_count": 105,
1314 |    "metadata": {},
1315 |    "outputs": [
1316 |     {
1317 |      "name": "stdout",
1318 |      "output_type": "stream",
1319 |      "text": [
1320 |       "Alpha: 0.0, Score : 0.8903065451532726\n",
1321 |       "Alpha: 0.1, Score : 0.9020712510356255\n",
1322 |       "Alpha: 0.2, Score : 0.9025683512841757\n",
1323 |       "Alpha: 0.30000000000000004, Score : 0.9024026512013256\n",
1324 |       "Alpha: 0.4, Score : 0.9017398508699255\n",
1325 |       "Alpha: 0.5, Score : 0.9015741507870754\n",
1326 |       "Alpha: 0.6000000000000001, Score : 0.9022369511184756\n",
1327 |       "Alpha: 0.7000000000000001, Score : 0.9025683512841757\n",
1328 |       "Alpha: 0.8, Score : 0.9015741507870754\n",
1329 |       "Alpha: 0.9, Score : 0.9017398508699255\n"
1330 |      ]
1331 |     }
1332 |    ],
1333 |    "source": [
1334 |     "previous_score=0\n",
1335 |     "for alpha in np.arange(0,1,0.1):\n",
1336 |     "    sub_classifier=MultinomialNB(alpha=alpha)\n",
1337 |     "    sub_classifier.fit(X_train,y_train)\n",
1338 |     "    y_pred=sub_classifier.predict(X_test)\n",
1339 |     "    score = metrics.accuracy_score(y_test, y_pred)\n",
1340 |     "    if score>previous_score:\n",
1341 |     "        classifier=sub_classifier\n",
1342 |     "    print(\"Alpha: {}, Score : {}\".format(alpha,score))"
1343 |    ]
1344 |   },
1345 |   {
1346 |    "cell_type": "code",
1347 |    "execution_count": 106,
1348 |    "metadata": {},
1349 |    "outputs": [],
1350 |    "source": [
1351 |     "## Get Features names\n",
1352 |     "feature_names = cv.get_feature_names()"
1353 |    ]
1354 |   },
1355 |   {
1356 |    "cell_type": "code",
1357 |    "execution_count": 109,
1358 |    "metadata": {},
1359 |    "outputs": [
1360 |     {
1361 |      "data": {
1362 |       "text/plain": [
1363 |        "array([ -9.10038883,  -8.62276128,  -9.10038883, ..., -10.79498456,\n",
1364 |        "        -8.91467169,  -9.32864749])"
1365 |       ]
1366 |      },
1367 |      "execution_count": 109,
1368 |      "metadata": {},
1369 |      "output_type": "execute_result"
1370 |     }
1371 |    ],
1372 |    "source": [
1373 |     "classifier.coef_[0]"
1374 |    ]
1375 |   },
1376 |   {
1377 |    "cell_type": "code",
1378 |    "execution_count": 107,
1379 |    "metadata": {},
1380 |    "outputs": [
1381 |     {
1382 |      "data": {
1383 |       "text/plain": [
1384 |        "[(-4.000149156604985, 'trump'),\n",
1385 |        " (-4.287872694443541, 'hillari'),\n",
1386 |        " (-4.396389621061519, 'clinton'),\n",
1387 |        " (-4.899969726208735, 'elect'),\n",
1388 |        " (-5.176598600897756, 'new'),\n",
1389 |        " (-5.234730366348767, 'comment'),\n",
1390 |        " (-5.273968180973631, 'video'),\n",
1391 |        " (-5.3868167681180115, 'war'),\n",
1392 |        " (-5.396821854078974, 'us'),\n",
1393 |        " (-5.412019714988405, 'hillari clinton'),\n",
1394 |        " (-5.417137433425386, 'fbi'),\n",
1395 |        " (-5.48068448454208, 'vote'),\n",
1396 |        " (-5.566255475855405, 'email'),\n",
1397 |        " (-5.578238842742501, 'world'),\n",
1398 |        " (-5.634015380199913, 'obama'),\n",
1399 |        " (-5.734501455772904, 'donald'),\n",
1400 |        " (-5.763095255139644, 'donald trump'),\n",
1401 |        " (-5.785090276725191, 'russia'),\n",
1402 |        " (-5.846224665218559, 'day'),\n",
1403 |        " (-5.862110622807369, 'america')]"
1404 |       ]
1405 |      },
1406 |      "execution_count": 107,
1407 |      "metadata": {},
1408 |      "output_type": "execute_result"
1409 |     }
1410 |    ],
1411 |    "source": [
1412 |     "### Most real\n",
1413 |     "sorted(zip(classifier.coef_[0], feature_names), reverse=True)[:20]"
1414 |    ]
1415 |   },
1416 |   {
1417 |    "cell_type": "code",
1418 |    "execution_count": 135,
1419 |    "metadata": {},
1420 |    "outputs": [
1421 |     {
1422 |      "data": {
1423 |       "text/plain": [
1424 |        "[(-10.794984555596727, 'abe'),\n",
1425 |        " (-10.794984555596727, 'abroad'),\n",
1426 |        " (-10.794984555596727, 'abus new'),\n",
1427 |        " (-10.794984555596727, 'abus new york'),\n",
1428 |        " (-10.794984555596727, 'act new'),\n",
1429 |        " (-10.794984555596727, 'act new york'),\n",
1430 |        " (-10.794984555596727, 'advic'),\n",
1431 |        " (-10.794984555596727, 'advis new'),\n",
1432 |        " (-10.794984555596727, 'advis new york'),\n",
1433 |        " (-10.794984555596727, 'age new'),\n",
1434 |        " (-10.794984555596727, 'age new york'),\n",
1435 |        " (-10.794984555596727, 'agenda breitbart'),\n",
1436 |        " (-10.794984555596727, 'ail'),\n",
1437 |        " (-10.794984555596727, 'aleppo new'),\n",
1438 |        " (-10.794984555596727, 'aleppo new york'),\n",
1439 |        " (-10.794984555596727, 'ali'),\n",
1440 |        " (-10.794984555596727, 'america breitbart'),\n",
1441 |        " (-10.794984555596727, 'america new york'),\n",
1442 |        " (-10.794984555596727, 'american breitbart'),\n",
1443 |        " (-10.794984555596727, 'american new'),\n",
1444 |        " (-10.794984555596727, 'american new york'),\n",
1445 |        " (-10.794984555596727, 'ami'),\n",
1446 |        " (-10.794984555596727, 'ami schumer'),\n",
1447 |        " (-10.794984555596727, 'amp'),\n",
1448 |        " (-10.794984555596727, 'ann'),\n",
1449 |        " (-10.794984555596727, 'ann coulter'),\n",
1450 |        " (-10.794984555596727, 'applaud'),\n",
1451 |        " (-10.794984555596727, 'arson'),\n",
1452 |        " (-10.794984555596727, 'asian'),\n",
1453 |        " (-10.794984555596727, 'assail'),\n",
1454 |        " (-10.794984555596727, 'athlet'),\n",
1455 |        " (-10.794984555596727, 'attack breitbart'),\n",
1456 |        " (-10.794984555596727, 'attack new'),\n",
1457 |        " (-10.794984555596727, 'attack new york'),\n",
1458 |        " (-10.794984555596727, 'attack syria'),\n",
1459 |        " (-10.794984555596727, 'attend'),\n",
1460 |        " (-10.794984555596727, 'avert'),\n",
1461 |        " (-10.794984555596727, 'away new'),\n",
1462 |        " (-10.794984555596727, 'away new york'),\n",
1463 |        " (-10.794984555596727, 'back new'),\n",
1464 |        " (-10.794984555596727, 'back new york'),\n",
1465 |        " (-10.794984555596727, 'baltimor'),\n",
1466 |        " (-10.794984555596727, 'ban breitbart'),\n",
1467 |        " (-10.794984555596727, 'ban new'),\n",
1468 |        " (-10.794984555596727, 'ban new york'),\n",
1469 |        " (-10.794984555596727, 'bangladesh'),\n",
1470 |        " (-10.794984555596727, 'barron trump'),\n",
1471 |        " (-10.794984555596727, 'basic'),\n",
1472 |        " (-10.794984555596727, 'basketbal'),\n",
1473 |        " (-10.794984555596727, 'basketbal player'),\n",
1474 |        " (-10.794984555596727, 'baton'),\n",
1475 |        " (-10.794984555596727, 'baton roug'),\n",
1476 |        " (-10.794984555596727, 'battl new'),\n",
1477 |        " (-10.794984555596727, 'battl new york'),\n",
1478 |        " (-10.794984555596727, 'bay'),\n",
1479 |        " (-10.794984555596727, 'beach new'),\n",
1480 |        " (-10.794984555596727, 'beach new york'),\n",
1481 |        " (-10.794984555596727, 'begin new'),\n",
1482 |        " (-10.794984555596727, 'behead photo'),\n",
1483 |        " (-10.794984555596727, 'behind trump'),\n",
1484 |        " (-10.794984555596727, 'berkeley breitbart'),\n",
1485 |        " (-10.794984555596727, 'betsi'),\n",
1486 |        " (-10.794984555596727, 'betsi devo'),\n",
1487 |        " (-10.794984555596727, 'bill breitbart'),\n",
1488 |        " (-10.794984555596727, 'bill new'),\n",
1489 |        " (-10.794984555596727, 'bill new york'),\n",
1490 |        " (-10.794984555596727, 'bill reilli'),\n",
1491 |        " (-10.794984555596727, 'billi'),\n",
1492 |        " (-10.794984555596727, 'blue state'),\n",
1493 |        " (-10.794984555596727, 'blue state blue'),\n",
1494 |        " (-10.794984555596727, 'bolster'),\n",
1495 |        " (-10.794984555596727, 'border patrol'),\n",
1496 |        " (-10.794984555596727, 'border patrol agent'),\n",
1497 |        " (-10.794984555596727, 'border state'),\n",
1498 |        " (-10.794984555596727, 'border wall'),\n",
1499 |        " (-10.794984555596727, 'border wall breitbart'),\n",
1500 |        " (-10.794984555596727, 'bowl'),\n",
1501 |        " (-10.794984555596727, 'box offic'),\n",
1502 |        " (-10.794984555596727, 'bradi'),\n",
1503 |        " (-10.794984555596727, 'breath'),\n",
1504 |        " (-10.794984555596727, 'breitbart news daili'),\n",
1505 |        " (-10.794984555596727, 'brief new'),\n",
1506 |        " (-10.794984555596727, 'brief new york'),\n",
1507 |        " (-10.794984555596727, 'broadway'),\n",
1508 |        " (-10.794984555596727, 'bronx'),\n",
1509 |        " (-10.794984555596727, 'brooklyn'),\n",
1510 |        " (-10.794984555596727, 'brooklyn new'),\n",
1511 |        " (-10.794984555596727, 'brooklyn new york'),\n",
1512 |        " (-10.794984555596727, 'bureaucrat'),\n",
1513 |        " (-10.794984555596727, 'caitlyn'),\n",
1514 |        " (-10.794984555596727, 'caitlyn jenner'),\n",
1515 |        " (-10.794984555596727, 'cal'),\n",
1516 |        " (-10.794984555596727, 'california today'),\n",
1517 |        " (-10.794984555596727, 'calm'),\n",
1518 |        " (-10.794984555596727, 'campaign breitbart'),\n",
1519 |        " (-10.794984555596727, 'campaign new'),\n",
1520 |        " (-10.794984555596727, 'campaign new york'),\n",
1521 |        " (-10.794984555596727, 'campu breitbart'),\n",
1522 |        " (-10.794984555596727, 'cann'),\n",
1523 |        " (-10.794984555596727, 'car new'),\n",
1524 |        " (-10.794984555596727, 'car new york'),\n",
1525 |        " (-10.794984555596727, 'care act'),\n",
1526 |        " (-10.794984555596727, 'care act new'),\n",
1527 |        " (-10.794984555596727, 'care bill'),\n",
1528 |        " (-10.794984555596727, 'care breitbart'),\n",
1529 |        " (-10.794984555596727, 'carri fisher'),\n",
1530 |        " (-10.794984555596727, 'carson'),\n",
1531 |        " (-10.794984555596727, 'case new'),\n",
1532 |        " (-10.794984555596727, 'case new york'),\n",
1533 |        " (-10.794984555596727, 'castro'),\n",
1534 |        " (-10.794984555596727, 'caucu'),\n",
1535 |        " (-10.794984555596727, 'ceas'),\n",
1536 |        " (-10.794984555596727, 'ceas fire'),\n",
1537 |        " (-10.794984555596727, 'chamber'),\n",
1538 |        " (-10.794984555596727, 'championship'),\n",
1539 |        " (-10.794984555596727, 'championship new'),\n",
1540 |        " (-10.794984555596727, 'championship new york'),\n",
1541 |        " (-10.794984555596727, 'chang new'),\n",
1542 |        " (-10.794984555596727, 'chang new york'),\n",
1543 |        " (-10.794984555596727, 'charg new york'),\n",
1544 |        " (-10.794984555596727, 'charleston'),\n",
1545 |        " (-10.794984555596727, 'charlott'),\n",
1546 |        " (-10.794984555596727, 'cher'),\n",
1547 |        " (-10.794984555596727, 'chief new'),\n",
1548 |        " (-10.794984555596727, 'chief new york'),\n",
1549 |        " (-10.794984555596727, 'china new york'),\n",
1550 |        " (-10.794984555596727, 'chri christi'),\n",
1551 |        " (-10.794984555596727, 'christi'),\n",
1552 |        " (-10.794984555596727, 'christoph'),\n",
1553 |        " (-10.794984555596727, 'chuck'),\n",
1554 |        " (-10.794984555596727, 'chuck todd'),\n",
1555 |        " (-10.794984555596727, 'circuit'),\n",
1556 |        " (-10.794984555596727, 'citi new'),\n",
1557 |        " (-10.794984555596727, 'citi new york'),\n",
1558 |        " (-10.794984555596727, 'citizenship'),\n",
1559 |        " (-10.794984555596727, 'clinton new york'),\n",
1560 |        " (-10.794984555596727, 'clue'),\n",
1561 |        " (-10.794984555596727, 'coach'),\n",
1562 |        " (-10.794984555596727, 'colleg new'),\n",
1563 |        " (-10.794984555596727, 'colleg new york'),\n",
1564 |        " (-10.794984555596727, 'collid'),\n",
1565 |        " (-10.794984555596727, 'collin'),\n",
1566 |        " (-10.794984555596727, 'comedi'),\n",
1567 |        " (-10.794984555596727, 'comedi central'),\n",
1568 |        " (-10.794984555596727, 'comey fire'),\n",
1569 |        " (-10.794984555596727, 'commission'),\n",
1570 |        " (-10.794984555596727, 'common core'),\n",
1571 |        " (-10.794984555596727, 'common ground'),\n",
1572 |        " (-10.794984555596727, 'compet'),\n",
1573 |        " (-10.794984555596727, 'complex'),\n",
1574 |        " (-10.794984555596727, 'conceal'),\n",
1575 |        " (-10.794984555596727, 'confirm hear'),\n",
1576 |        " (-10.794984555596727, 'congress breitbart'),\n",
1577 |        " (-10.794984555596727, 'congress new york'),\n",
1578 |        " (-10.794984555596727, 'control new'),\n",
1579 |        " (-10.794984555596727, 'control new york'),\n",
1580 |        " (-10.794984555596727, 'convent new'),\n",
1581 |        " (-10.794984555596727, 'convent new york'),\n",
1582 |        " (-10.794984555596727, 'corner'),\n",
1583 |        " (-10.794984555596727, 'coulter'),\n",
1584 |        " (-10.794984555596727, 'counsel'),\n",
1585 |        " (-10.794984555596727, 'countri breitbart'),\n",
1586 |        " (-10.794984555596727, 'cours'),\n",
1587 |        " (-10.794984555596727, 'court block'),\n",
1588 |        " (-10.794984555596727, 'court new'),\n",
1589 |        " (-10.794984555596727, 'court new york'),\n",
1590 |        " (-10.794984555596727, 'court rule new'),\n",
1591 |        " (-10.794984555596727, 'cpac'),\n",
1592 |        " (-10.794984555596727, 'crash new'),\n",
1593 |        " (-10.794984555596727, 'crash new york'),\n",
1594 |        " (-10.794984555596727, 'crime breitbart'),\n",
1595 |        " (-10.794984555596727, 'crisi new'),\n",
1596 |        " (-10.794984555596727, 'crisi new york'),\n",
1597 |        " (-10.794984555596727, 'critic new'),\n",
1598 |        " (-10.794984555596727, 'crown'),\n",
1599 |        " (-10.794984555596727, 'cunningham'),\n",
1600 |        " (-10.794984555596727, 'curb'),\n",
1601 |        " (-10.794984555596727, 'davo'),\n",
1602 |        " (-10.794984555596727, 'day breitbart'),\n",
1603 |        " (-10.794984555596727, 'day new york'),\n",
1604 |        " (-10.794984555596727, 'day parad'),\n",
1605 |        " (-10.794984555596727, 'dead new'),\n",
1606 |        " (-10.794984555596727, 'dead new york'),\n",
1607 |        " (-10.794984555596727, 'deal breitbart'),\n",
1608 |        " (-10.794984555596727, 'deal new'),\n",
1609 |        " (-10.794984555596727, 'deal new york'),\n",
1610 |        " (-10.794984555596727, 'death new'),\n",
1611 |        " (-10.794984555596727, 'death new york'),\n",
1612 |        " (-10.794984555596727, 'debat new'),\n",
1613 |        " (-10.794984555596727, 'debat new york'),\n",
1614 |        " (-10.794984555596727, 'debbi reynold'),\n",
1615 |        " (-10.794984555596727, 'defi'),\n",
1616 |        " (-10.794984555596727, 'defund'),\n",
1617 |        " (-10.794984555596727, 'delingpol'),\n",
1618 |        " (-10.794984555596727, 'dem rep'),\n",
1619 |        " (-10.794984555596727, 'dem sen'),\n",
1620 |        " (-10.794984555596727, 'democrat breitbart'),\n",
1621 |        " (-10.794984555596727, 'democrat new'),\n",
1622 |        " (-10.794984555596727, 'democrat new york'),\n",
1623 |        " (-10.794984555596727, 'deport breitbart'),\n",
1624 |        " (-10.794984555596727, 'despair'),\n",
1625 |        " (-10.794984555596727, 'devo'),\n",
1626 |        " (-10.794984555596727, 'dh'),\n",
1627 |        " (-10.794984555596727, 'die new'),\n",
1628 |        " (-10.794984555596727, 'die new york'),\n",
1629 |        " (-10.794984555596727, 'diego'),\n",
1630 |        " (-10.794984555596727, 'disappoint'),\n",
1631 |        " (-10.794984555596727, 'divorc'),\n",
1632 |        " (-10.794984555596727, 'donald trump breitbart'),\n",
1633 |        " (-10.794984555596727, 'donald trump campaign'),\n",
1634 |        " (-10.794984555596727, 'donald trump inaugur'),\n",
1635 |        " (-10.794984555596727, 'dossier'),\n",
1636 |        " (-10.794984555596727, 'drama'),\n",
1637 |        " (-10.794984555596727, 'drive car'),\n",
1638 |        " (-10.794984555596727, 'drug new'),\n",
1639 |        " (-10.794984555596727, 'drug new york'),\n",
1640 |        " (-10.794984555596727, 'dunham'),\n",
1641 |        " (-10.794984555596727, 'dylann'),\n",
1642 |        " (-10.794984555596727, 'dylann roof'),\n",
1643 |        " (-10.794984555596727, 'eas'),\n",
1644 |        " (-10.794984555596727, 'easter'),\n",
1645 |        " (-10.794984555596727, 'economi new'),\n",
1646 |        " (-10.794984555596727, 'ecuador'),\n",
1647 |        " (-10.794984555596727, 'effort new york'),\n",
1648 |        " (-10.794984555596727, 'egyptair'),\n",
1649 |        " (-10.794984555596727, 'elect breitbart'),\n",
1650 |        " (-10.794984555596727, 'elect loss'),\n",
1651 |        " (-10.794984555596727, 'elect new york'),\n",
1652 |        " (-10.794984555596727, 'els new'),\n",
1653 |        " (-10.794984555596727, 'els new york'),\n",
1654 |        " (-10.794984555596727, 'embassi jerusalem'),\n",
1655 |        " (-10.794984555596727, 'emmi'),\n",
1656 |        " (-10.794984555596727, 'end new'),\n",
1657 |        " (-10.794984555596727, 'end new york'),\n",
1658 |        " (-10.794984555596727, 'england'),\n",
1659 |        " (-10.794984555596727, 'england patriot'),\n",
1660 |        " (-10.794984555596727, 'epa'),\n",
1661 |        " (-10.794984555596727, 'era new'),\n",
1662 |        " (-10.794984555596727, 'era new york'),\n",
1663 |        " (-10.794984555596727, 'espn'),\n",
1664 |        " (-10.794984555596727, 'europ new york'),\n",
1665 |        " (-10.794984555596727, 'european union'),\n",
1666 |        " (-10.794984555596727, 'even brief'),\n",
1667 |        " (-10.794984555596727, 'even brief new'),\n",
1668 |        " (-10.794984555596727, 'event breitbart'),\n",
1669 |        " (-10.794984555596727, 'execut order breitbart'),\n",
1670 |        " (-10.794984555596727, 'expand'),\n",
1671 |        " (-10.794984555596727, 'explain new'),\n",
1672 |        " (-10.794984555596727, 'explain new york'),\n",
1673 |        " (-10.794984555596727, 'extradit'),\n",
1674 |        " (-10.794984555596727, 'face new'),\n",
1675 |        " (-10.794984555596727, 'faction'),\n",
1676 |        " (-10.794984555596727, 'fake news breitbart'),\n",
1677 |        " (-10.794984555596727, 'fake news new'),\n",
1678 |        " (-10.794984555596727, 'falluja'),\n",
1679 |        " (-10.794984555596727, 'familiar'),\n",
1680 |        " (-10.794984555596727, 'farewel'),\n",
1681 |        " (-10.794984555596727, 'fargo'),\n",
1682 |        " (-10.794984555596727, 'fatal shoot'),\n",
1683 |        " (-10.794984555596727, 'fear new york'),\n",
1684 |        " (-10.794984555596727, 'fear trump'),\n",
1685 |        " (-10.794984555596727, 'feinstein'),\n",
1686 |        " (-10.794984555596727, 'fidel'),\n",
1687 |        " (-10.794984555596727, 'fidel castro'),\n",
1688 |        " (-10.794984555596727, 'fieri'),\n",
1689 |        " (-10.794984555596727, 'fight new'),\n",
1690 |        " (-10.794984555596727, 'fight new york'),\n",
1691 |        " (-10.794984555596727, 'fight trump'),\n",
1692 |        " (-10.794984555596727, 'filibust'),\n",
1693 |        " (-10.794984555596727, 'fillon'),\n",
1694 |        " (-10.794984555596727, 'find new york'),\n",
1695 |        " (-10.794984555596727, 'fire breitbart'),\n",
1696 |        " (-10.794984555596727, 'fire new york'),\n",
1697 |        " (-10.794984555596727, 'fisher'),\n",
1698 |        " (-10.794984555596727, 'fitton'),\n",
1699 |        " (-10.794984555596727, 'flight new'),\n",
1700 |        " (-10.794984555596727, 'flight new york'),\n",
1701 |        " (-10.794984555596727, 'fmr'),\n",
1702 |        " (-10.794984555596727, 'fort'),\n",
1703 |        " (-10.794984555596727, 'found new'),\n",
1704 |        " (-10.794984555596727, 'found new york'),\n",
1705 |        " (-10.794984555596727, 'fran oi'),\n",
1706 |        " (-10.794984555596727, 'fran oi fillon'),\n",
1707 |        " (-10.794984555596727, 'franc new'),\n",
1708 |        " (-10.794984555596727, 'franc new york'),\n",
1709 |        " (-10.794984555596727, 'freedom caucu'),\n",
1710 |        " (-10.794984555596727, 'french presidenti'),\n",
1711 |        " (-10.794984555596727, 'friday even'),\n",
1712 |        " (-10.794984555596727, 'friday even brief'),\n",
1713 |        " (-10.794984555596727, 'fs'),\n",
1714 |        " (-10.794984555596727, 'futur new'),\n",
1715 |        " (-10.794984555596727, 'futur new york'),\n",
1716 |        " (-10.794984555596727, 'gaffney'),\n",
1717 |        " (-10.794984555596727, 'game breitbart'),\n",
1718 |        " (-10.794984555596727, 'game new'),\n",
1719 |        " (-10.794984555596727, 'game new york'),\n",
1720 |        " (-10.794984555596727, 'gawker'),\n",
1721 |        " (-10.794984555596727, 'gener new'),\n",
1722 |        " (-10.794984555596727, 'gener new york'),\n",
1723 |        " (-10.794984555596727, 'georg michael'),\n",
1724 |        " (-10.794984555596727, 'get back'),\n",
1725 |        " (-10.794984555596727, 'get new'),\n",
1726 |        " (-10.794984555596727, 'go new york'),\n",
1727 |        " (-10.794984555596727, 'golden globe'),\n",
1728 |        " (-10.794984555596727, 'golden state'),\n",
1729 |        " (-10.794984555596727, 'golden state warrior'),\n",
1730 |        " (-10.794984555596727, 'goodel'),\n",
1731 |        " (-10.794984555596727, 'gop rep'),\n",
1732 |        " (-10.794984555596727, 'gop sen'),\n",
1733 |        " (-10.794984555596727, 'gorka'),\n",
1734 |        " (-10.794984555596727, 'gorsuch'),\n",
1735 |        " (-10.794984555596727, 'gorsuch breitbart'),\n",
1736 |        " (-10.794984555596727, 'gorsuch confirm'),\n",
1737 |        " (-10.794984555596727, 'govern new york'),\n",
1738 |        " (-10.794984555596727, 'grammi'),\n",
1739 |        " (-10.794984555596727, 'gray'),\n",
1740 |        " (-10.794984555596727, 'griffin'),\n",
1741 |        " (-10.794984555596727, 'grow new'),\n",
1742 |        " (-10.794984555596727, 'grow new york'),\n",
1743 |        " (-10.794984555596727, 'guant'),\n",
1744 |        " (-10.794984555596727, 'guant namo'),\n",
1745 |        " (-10.794984555596727, 'gulf'),\n",
1746 |        " (-10.794984555596727, 'gymnast'),\n",
1747 |        " (-10.794984555596727, 'hack new'),\n",
1748 |        " (-10.794984555596727, 'hack new york'),\n",
1749 |        " (-10.794984555596727, 'hbo'),\n",
1750 |        " (-10.794984555596727, 'health bill'),\n",
1751 |        " (-10.794984555596727, 'health care bill'),\n",
1752 |        " (-10.794984555596727, 'health insur'),\n",
1753 |        " (-10.794984555596727, 'health law'),\n",
1754 |        " (-10.794984555596727, 'healthcar bill'),\n",
1755 |        " (-10.794984555596727, 'hear new'),\n",
1756 |        " (-10.794984555596727, 'hear new york'),\n",
1757 |        " (-10.794984555596727, 'heart new'),\n",
1758 |        " (-10.794984555596727, 'heart new york'),\n",
1759 |        " (-10.794984555596727, 'high school'),\n",
1760 |        " (-10.794984555596727, 'histori new'),\n",
1761 |        " (-10.794984555596727, 'histori new york'),\n",
1762 |        " (-10.794984555596727, 'hockey'),\n",
1763 |        " (-10.794984555596727, 'holiday'),\n",
1764 |        " (-10.794984555596727, 'home new'),\n",
1765 |        " (-10.794984555596727, 'home new york'),\n",
1766 |        " (-10.794984555596727, 'hometown'),\n",
1767 |        " (-10.794984555596727, 'horribl'),\n",
1768 |        " (-10.794984555596727, 'hous breitbart'),\n",
1769 |        " (-10.794984555596727, 'hous new york'),\n",
1770 |        " (-10.794984555596727, 'hungari'),\n",
1771 |        " (-10.794984555596727, 'hurrican matthew'),\n",
1772 |        " (-10.794984555596727, 'imam'),\n",
1773 |        " (-10.794984555596727, 'immigr order'),\n",
1774 |        " (-10.794984555596727, 'inaugur speech'),\n",
1775 |        " (-10.794984555596727, 'inquiri new'),\n",
1776 |        " (-10.794984555596727, 'inquiri new york'),\n",
1777 |        " (-10.794984555596727, 'intend'),\n",
1778 |        " (-10.794984555596727, 'interest rate'),\n",
1779 |        " (-10.794984555596727, 'investig breitbart'),\n",
1780 |        " (-10.794984555596727, 'investig new york'),\n",
1781 |        " (-10.794984555596727, 'investig trump'),\n",
1782 |        " (-10.794984555596727, 'isi new'),\n",
1783 |        " (-10.794984555596727, 'isi new york'),\n",
1784 |        " (-10.794984555596727, 'islam state support'),\n",
1785 |        " (-10.794984555596727, 'isol'),\n",
1786 |        " (-10.794984555596727, 'issu new'),\n",
1787 |        " (-10.794984555596727, 'issu new york'),\n",
1788 |        " (-10.794984555596727, 'jacki'),\n",
1789 |        " (-10.794984555596727, 'jake'),\n",
1790 |        " (-10.794984555596727, 'jane'),\n",
1791 |        " (-10.794984555596727, 'jare kushner'),\n",
1792 |        " (-10.794984555596727, 'jerri'),\n",
1793 |        " (-10.794984555596727, 'jerri brown'),\n",
1794 |        " (-10.794984555596727, 'jo'),\n",
1795 |        " (-10.794984555596727, 'job breitbart'),\n",
1796 |        " (-10.794984555596727, 'job new'),\n",
1797 |        " (-10.794984555596727, 'job new york'),\n",
1798 |        " (-10.794984555596727, 'jong'),\n",
1799 |        " (-10.794984555596727, 'jong nam'),\n",
1800 |        " (-10.794984555596727, 'jong un'),\n",
1801 |        " (-10.794984555596727, 'journey'),\n",
1802 |        " (-10.794984555596727, 'jr'),\n",
1803 |        " (-10.794984555596727, 'judici'),\n",
1804 |        " (-10.794984555596727, 'justin'),\n",
1805 |        " (-10.794984555596727, 'kabul'),\n",
1806 |        " (-10.794984555596727, 'kathi'),\n",
1807 |        " (-10.794984555596727, 'kathi griffin'),\n",
1808 |        " (-10.794984555596727, 'kati'),\n",
1809 |        " (-10.794984555596727, 'kellogg'),\n",
1810 |        " (-10.794984555596727, 'kevin'),\n",
1811 |        " (-10.794984555596727, 'kill new'),\n",
1812 |        " (-10.794984555596727, 'kill new york'),\n",
1813 |        " (-10.794984555596727, 'kim jong'),\n",
1814 |        " (-10.794984555596727, 'kim jong nam'),\n",
1815 |        " (-10.794984555596727, 'kim jong un'),\n",
1816 |        " (-10.794984555596727, 'know know'),\n",
1817 |        " (-10.794984555596727, 'know new york'),\n",
1818 |        " (-10.794984555596727, 'korea new'),\n",
1819 |        " (-10.794984555596727, 'korea new york'),\n",
1820 |        " (-10.794984555596727, 'krauthamm'),\n",
1821 |        " (-10.794984555596727, 'kushner'),\n",
1822 |        " (-10.794984555596727, 'la la'),\n",
1823 |        " (-10.794984555596727, 'la la land'),\n",
1824 |        " (-10.794984555596727, 'la land'),\n",
1825 |        " (-10.794984555596727, 'labour'),\n",
1826 |        " (-10.794984555596727, 'lago'),\n",
1827 |        " (-10.794984555596727, 'latin'),\n",
1828 |        " (-10.794984555596727, 'lauderdal'),\n",
1829 |        " (-10.794984555596727, 'law breitbart'),\n",
1830 |        " (-10.794984555596727, 'law new'),\n",
1831 |        " (-10.794984555596727, 'law new york'),\n",
1832 |        " (-10.794984555596727, 'lawyer say'),\n",
1833 |        " (-10.794984555596727, 'le pen'),\n",
1834 |        " (-10.794984555596727, 'leader new'),\n",
1835 |        " (-10.794984555596727, 'leader new york'),\n",
1836 |        " (-10.794984555596727, 'leaker'),\n",
1837 |        " (-10.794984555596727, 'legitim'),\n",
1838 |        " (-10.794984555596727, 'lena'),\n",
1839 |        " (-10.794984555596727, 'lena dunham'),\n",
1840 |        " (-10.794984555596727, 'levin'),\n",
1841 |        " (-10.794984555596727, 'lewi'),\n",
1842 |        " (-10.794984555596727, 'life new'),\n",
1843 |        " (-10.794984555596727, 'life new york'),\n",
1844 |        " (-10.794984555596727, 'linda'),\n",
1845 |        " (-10.794984555596727, 'linda sarsour'),\n",
1846 |        " (-10.794984555596727, 'line new'),\n",
1847 |        " (-10.794984555596727, 'line new york'),\n",
1848 |        " (-10.794984555596727, 'listen new'),\n",
1849 |        " (-10.794984555596727, 'listen new york'),\n",
1850 |        " (-10.794984555596727, 'lite'),\n",
1851 |        " (-10.794984555596727, 'live new'),\n",
1852 |        " (-10.794984555596727, 'live new york'),\n",
1853 |        " (-10.794984555596727, 'lo angel'),\n",
1854 |        " (-10.794984555596727, 'locht'),\n",
1855 |        " (-10.794984555596727, 'london attack'),\n",
1856 |        " (-10.794984555596727, 'long island'),\n",
1857 |        " (-10.794984555596727, 'loss new'),\n",
1858 |        " (-10.794984555596727, 'loss new york'),\n",
1859 |        " (-10.794984555596727, 'louvr'),\n",
1860 |        " (-10.794984555596727, 'machin new'),\n",
1861 |        " (-10.794984555596727, 'machin new york'),\n",
1862 |        " (-10.794984555596727, 'macron'),\n",
1863 |        " (-10.794984555596727, 'madonna'),\n",
1864 |        " (-10.794984555596727, 'maker'),\n",
1865 |        " (-10.794984555596727, 'malaysia'),\n",
1866 |        " (-10.794984555596727, 'mall'),\n",
1867 |        " (-10.794984555596727, 'man new'),\n",
1868 |        " (-10.794984555596727, 'man new york'),\n",
1869 |        " (-10.794984555596727, 'manchin'),\n",
1870 |        " (-10.794984555596727, 'manuel'),\n",
1871 |        " (-10.794984555596727, 'mar'),\n",
1872 |        " (-10.794984555596727, 'mar lago'),\n",
1873 |        " (-10.794984555596727, 'marcher'),\n",
1874 |        " (-10.794984555596727, 'marin le'),\n",
1875 |        " (-10.794984555596727, 'marin le pen'),\n",
1876 |        " (-10.794984555596727, 'market new'),\n",
1877 |        " (-10.794984555596727, 'market new york'),\n",
1878 |        " (-10.794984555596727, 'marlow'),\n",
1879 |        " (-10.794984555596727, 'match'),\n",
1880 |        " (-10.794984555596727, 'maxin'),\n",
1881 |        " (-10.794984555596727, 'maxin water'),\n",
1882 |        " (-10.794984555596727, 'mcconnel'),\n",
1883 |        " (-10.794984555596727, 'media breitbart'),\n",
1884 |        " (-10.794984555596727, 'media new'),\n",
1885 |        " (-10.794984555596727, 'media new york'),\n",
1886 |        " (-10.794984555596727, 'medicaid'),\n",
1887 |        " (-10.794984555596727, 'meet new'),\n",
1888 |        " (-10.794984555596727, 'memori day'),\n",
1889 |        " (-10.794984555596727, 'merger'),\n",
1890 |        " (-10.794984555596727, 'meryl'),\n",
1891 |        " (-10.794984555596727, 'meryl streep'),\n",
1892 |        " (-10.794984555596727, 'mexican border'),\n",
1893 |        " (-10.794984555596727, 'mexican cartel'),\n",
1894 |        " (-10.794984555596727, 'michael phelp'),\n",
1895 |        " (-10.794984555596727, 'militari new'),\n",
1896 |        " (-10.794984555596727, 'militari new york'),\n",
1897 |        " (-10.794984555596727, 'million new york'),\n",
1898 |        " (-10.794984555596727, 'milo breitbart'),\n",
1899 |        " (-10.794984555596727, 'milo event'),\n",
1900 |        " (-10.794984555596727, 'miss new'),\n",
1901 |        " (-10.794984555596727, 'miss new york'),\n",
1902 |        " (-10.794984555596727, 'mnuchin'),\n",
1903 |        " (-10.794984555596727, 'model new'),\n",
1904 |        " (-10.794984555596727, 'model new york'),\n",
1905 |        " (-10.794984555596727, 'modi'),\n",
1906 |        " (-10.794984555596727, 'monday brief'),\n",
1907 |        " (-10.794984555596727, 'monday brief new'),\n",
1908 |        " (-10.794984555596727, 'monday even'),\n",
1909 |        " (-10.794984555596727, 'monday even brief'),\n",
1910 |        " (-10.794984555596727, 'money new'),\n",
1911 |        " (-10.794984555596727, 'money new york'),\n",
1912 |        " (-10.794984555596727, 'month new'),\n",
1913 |        " (-10.794984555596727, 'month new york'),\n",
1914 |        " (-10.794984555596727, 'monument'),\n",
1915 |        " (-10.794984555596727, 'moonlight'),\n",
1916 |        " (-10.794984555596727, 'morn brief'),\n",
1917 |        " (-10.794984555596727, 'morn brief new'),\n",
1918 |        " (-10.794984555596727, 'muhammad ali'),\n",
1919 |        " (-10.794984555596727, 'multipl'),\n",
1920 |        " (-10.794984555596727, 'mulvaney'),\n",
1921 |        " (-10.794984555596727, 'myanmar'),\n",
1922 |        " (-10.794984555596727, 'nam'),\n",
1923 |        " (-10.794984555596727, 'name new'),\n",
1924 |        " (-10.794984555596727, 'namo'),\n",
1925 |        " (-10.794984555596727, 'nanci'),\n",
1926 |        " (-10.794984555596727, 'nanci pelosi'),\n",
1927 |        " (-10.794984555596727, 'narendra'),\n",
1928 |        " (-10.794984555596727, 'narendra modi'),\n",
1929 |        " (-10.794984555596727, 'nat'),\n",
1930 |        " (-10.794984555596727, 'nation new'),\n",
1931 |        " (-10.794984555596727, 'nation new york'),\n",
1932 |        " (-10.794984555596727, 'nation secur advis'),\n",
1933 |        " (-10.794984555596727, 'navi seal'),\n",
1934 |        " (-10.794984555596727, 'near texa'),\n",
1935 |        " (-10.794984555596727, 'near texa border'),\n",
1936 |        " (-10.794984555596727, 'neil gorsuch'),\n",
1937 |        " (-10.794984555596727, 'netflix'),\n",
1938 |        " (-10.794984555596727, 'new england'),\n",
1939 |        " (-10.794984555596727, 'new england patriot'),\n",
1940 |        " (-10.794984555596727, 'new year eve'),\n",
1941 |        " (-10.794984555596727, 'new york new'),\n",
1942 |        " (-10.794984555596727, 'new york state'),\n",
1943 |        " (-10.794984555596727, 'news breitbart'),\n",
1944 |        " (-10.794984555596727, 'news cnn'),\n",
1945 |        " (-10.794984555596727, 'news daili'),\n",
1946 |        " (-10.794984555596727, 'news new'),\n",
1947 |        " (-10.794984555596727, 'news new york'),\n",
1948 |        " (-10.794984555596727, 'night new'),\n",
1949 |        " (-10.794984555596727, 'night new york'),\n",
1950 |        " (-10.794984555596727, 'nobel prize'),\n",
1951 |        " (-10.794984555596727, 'nomin'),\n",
1952 |        " (-10.794984555596727, 'nuclear option'),\n",
1953 |        " (-10.794984555596727, 'nune'),\n",
1954 |        " (-10.794984555596727, 'obama breitbart'),\n",
1955 |        " (-10.794984555596727, 'obama era'),\n",
1956 |        " (-10.794984555596727, 'obamacar breitbart'),\n",
1957 |        " (-10.794984555596727, 'obamacar lite'),\n",
1958 |        " (-10.794984555596727, 'obamacar repeal'),\n",
1959 |        " (-10.794984555596727, 'obamacar replac'),\n",
1960 |        " (-10.794984555596727, 'odd'),\n",
1961 |        " (-10.794984555596727, 'offic new'),\n",
1962 |        " (-10.794984555596727, 'offic new york'),\n",
1963 |        " (-10.794984555596727, 'offici say'),\n",
1964 |        " (-10.794984555596727, 'offici say new'),\n",
1965 |        " (-10.794984555596727, 'often'),\n",
1966 |        " (-10.794984555596727, 'oi'),\n",
1967 |        " (-10.794984555596727, 'oi fillon'),\n",
1968 |        " (-10.794984555596727, 'oliv'),\n",
1969 |        " (-10.794984555596727, 'olymp new'),\n",
1970 |        " (-10.794984555596727, 'olymp new york'),\n",
1971 |        " (-10.794984555596727, 'one new'),\n",
1972 |        " (-10.794984555596727, 'one new york'),\n",
1973 |        " (-10.794984555596727, 'op'),\n",
1974 |        " (-10.794984555596727, 'open door'),\n",
1975 |        " (-10.794984555596727, 'open new york'),\n",
1976 |        " (-10.794984555596727, 'oper new'),\n",
1977 |        " (-10.794984555596727, 'oppos trump'),\n",
1978 |        " (-10.794984555596727, 'order breitbart'),\n",
1979 |        " (-10.794984555596727, 'order new'),\n",
1980 |        " (-10.794984555596727, 'order new york'),\n",
1981 |        " (-10.794984555596727, 'orlando shoot'),\n",
1982 |        " (-10.794984555596727, 'orlean'),\n",
1983 |        " (-10.794984555596727, 'orovil'),\n",
1984 |        " (-10.794984555596727, 'outcri'),\n",
1985 |        " (-10.794984555596727, 'outlet'),\n",
1986 |        " (-10.794984555596727, 'overhaul'),\n",
1987 |        " (-10.794984555596727, 'pari agreement'),\n",
1988 |        " (-10.794984555596727, 'parti new'),\n",
1989 |        " (-10.794984555596727, 'parti new york'),\n",
1990 |        " (-10.794984555596727, 'passport'),\n",
1991 |        " (-10.794984555596727, 'past new'),\n",
1992 |        " (-10.794984555596727, 'past new york'),\n",
1993 |        " (-10.794984555596727, 'path new york'),\n",
1994 |        " (-10.794984555596727, 'patrol agent'),\n",
1995 |        " (-10.794984555596727, 'paul ryan obamacar'),\n",
1996 |        " (-10.794984555596727, 'pelosi'),\n",
1997 |        " (-10.794984555596727, 'penguin'),\n",
1998 |        " (-10.794984555596727, 'peopl breitbart'),\n",
1999 |        " (-10.794984555596727, 'perez'),\n",
2000 |        " (-10.794984555596727, 'persist'),\n",
2001 |        " (-10.794984555596727, 'person new york'),\n",
2002 |        " (-10.794984555596727, 'phelp'),\n",
2003 |        " (-10.794984555596727, 'pioneer'),\n",
2004 |        " (-10.794984555596727, 'plan new'),\n",
2005 |        " (-10.794984555596727, 'plan new york'),\n",
2006 |        " (-10.794984555596727, 'plane crash'),\n",
2007 |        " (-10.794984555596727, 'playoff'),\n",
2008 |        " (-10.794984555596727, 'poland'),\n",
2009 |        " (-10.794984555596727, 'polic new'),\n",
2010 |        " (-10.794984555596727, 'polic new york'),\n",
2011 |        " (-10.794984555596727, 'polic say'),\n",
2012 |        " (-10.794984555596727, 'polic say new'),\n",
2013 |        " (-10.794984555596727, 'polic shoot'),\n",
2014 |        " (-10.794984555596727, 'polici breitbart'),\n",
2015 |        " (-10.794984555596727, 'polici new'),\n",
2016 |        " (-10.794984555596727, 'polici new york'),\n",
2017 |        " (-10.794984555596727, 'polit new'),\n",
2018 |        " (-10.794984555596727, 'polit new york'),\n",
2019 |        " (-10.794984555596727, 'politico'),\n",
2020 |        " (-10.794984555596727, 'post new'),\n",
2021 |        " (-10.794984555596727, 'post new york'),\n",
2022 |        " (-10.794984555596727, 'pound'),\n",
2023 |        " (-10.794984555596727, 'power new york'),\n",
2024 |        " (-10.794984555596727, 'pregnanc'),\n",
2025 |        " (-10.794984555596727, 'pregnant'),\n",
2026 |        " (-10.794984555596727, 'presid breitbart'),\n",
2027 |        " (-10.794984555596727, 'presid new'),\n",
2028 |        " (-10.794984555596727, 'presid new york'),\n",
2029 |        " (-10.794984555596727, 'presid trump breitbart'),\n",
2030 |        " (-10.794984555596727, 'presidenti debat'),\n",
2031 |        " (-10.794984555596727, 'press breitbart'),\n",
2032 |        " (-10.794984555596727, 'preview'),\n",
2033 |        " (-10.794984555596727, 'price new'),\n",
2034 |        " (-10.794984555596727, 'price new york'),\n",
2035 |        " (-10.794984555596727, 'priebu'),\n",
2036 |        " (-10.794984555596727, 'prison new'),\n",
2037 |        " (-10.794984555596727, 'prison new york'),\n",
2038 |        " (-10.794984555596727, 'problem new'),\n",
2039 |        " (-10.794984555596727, 'problem new york'),\n",
2040 |        " (-10.794984555596727, 'profession'),\n",
2041 |        " (-10.794984555596727, 'prompt'),\n",
2042 |        " (-10.794984555596727, 'protest breitbart'),\n",
2043 |        " (-10.794984555596727, 'protest new'),\n",
2044 |        " (-10.794984555596727, 'proud'),\n",
2045 |        " (-10.794984555596727, 'pruitt'),\n",
2046 |        " (-10.794984555596727, 'publish'),\n",
2047 |        " (-10.794984555596727, 'puerto'),\n",
2048 |        " (-10.794984555596727, 'quebec'),\n",
2049 |        " (-10.794984555596727, 'race new'),\n",
2050 |        " (-10.794984555596727, 'race new york'),\n",
2051 |        " (-10.794984555596727, 'rampag'),\n",
2052 |        " (-10.794984555596727, 'rand'),\n",
2053 |        " (-10.794984555596727, 'rand paul'),\n",
2054 |        " (-10.794984555596727, 'rang'),\n",
2055 |        " (-10.794984555596727, 'rebuk'),\n",
2056 |        " (-10.794984555596727, 'recal'),\n",
2057 |        " (-10.794984555596727, 'redston'),\n",
2058 |        " (-10.794984555596727, 'regist'),\n",
2059 |        " (-10.794984555596727, 'rein'),\n",
2060 |        " (-10.794984555596727, 'reinc'),\n",
2061 |        " (-10.794984555596727, 'reinc priebu'),\n",
2062 |        " (-10.794984555596727, 'reinstat'),\n",
2063 |        " (-10.794984555596727, 'repeal breitbart'),\n",
2064 |        " (-10.794984555596727, 'repeal obamacar'),\n",
2065 |        " (-10.794984555596727, 'repeat'),\n",
2066 |        " (-10.794984555596727, 'replac bill'),\n",
2067 |        " (-10.794984555596727, 'report ask'),\n",
2068 |        " (-10.794984555596727, 'report breitbart'),\n",
2069 |        " (-10.794984555596727, 'report obama'),\n",
2070 |        " (-10.794984555596727, 'report say'),\n",
2071 |        " (-10.794984555596727, 'report say new'),\n",
2072 |        " (-10.794984555596727, 'report trump'),\n",
2073 |        " (-10.794984555596727, 'republican new'),\n",
2074 |        " (-10.794984555596727, 'republican new york'),\n",
2075 |        " (-10.794984555596727, 'reshap'),\n",
2076 |        " (-10.794984555596727, 'rethink'),\n",
2077 |        " (-10.794984555596727, 'rex'),\n",
2078 |        " (-10.794984555596727, 'rex tillerson'),\n",
2079 |        " (-10.794984555596727, 'rhetor'),\n",
2080 |        " (-10.794984555596727, 'rico'),\n",
2081 |        " (-10.794984555596727, 'right breitbart'),\n",
2082 |        " (-10.794984555596727, 'right new'),\n",
2083 |        " (-10.794984555596727, 'right new york'),\n",
2084 |        " (-10.794984555596727, 'rio'),\n",
2085 |        " (-10.794984555596727, 'rio olymp'),\n",
2086 |        " (-10.794984555596727, 'riot breitbart'),\n",
2087 |        " (-10.794984555596727, 'rodrigo'),\n",
2088 |        " (-10.794984555596727, 'rodrigo dutert'),\n",
2089 |        " (-10.794984555596727, 'roger ail'),\n",
2090 |        " (-10.794984555596727, 'roug'),\n",
2091 |        " (-10.794984555596727, 'rout'),\n",
2092 |        " (-10.794984555596727, 'rule breitbart'),\n",
2093 |        " (-10.794984555596727, 'rule new'),\n",
2094 |        " (-10.794984555596727, 'rule new york'),\n",
2095 |        " (-10.794984555596727, 'russia new york'),\n",
2096 |        " (-10.794984555596727, 'russia probe'),\n",
2097 |        " (-10.794984555596727, 'russian ambassador'),\n",
2098 |        " (-10.794984555596727, 'russian hack'),\n",
2099 |        " (-10.794984555596727, 'ryan locht'),\n",
2100 |        " (-10.794984555596727, 'ryan obamacar'),\n",
2101 |        " (-10.794984555596727, 'ryan obamacar lite'),\n",
2102 |        " (-10.794984555596727, 'ryancar'),\n",
2103 |        " (-10.794984555596727, 'san diego'),\n",
2104 |        " (-10.794984555596727, 'sarsour'),\n",
2105 |        " (-10.794984555596727, 'saturday'),\n",
2106 |        " (-10.794984555596727, 'saturday night'),\n",
2107 |        " (-10.794984555596727, 'saturday night live'),\n",
2108 |        " (-10.794984555596727, 'say new'),\n",
2109 |        " (-10.794984555596727, 'say new york'),\n",
2110 |        " (-10.794984555596727, 'scalis'),\n",
2111 |        " (-10.794984555596727, 'scandal breitbart'),\n",
2112 |        " (-10.794984555596727, 'scandal new'),\n",
2113 |        " (-10.794984555596727, 'scandal new york'),\n",
2114 |        " (-10.794984555596727, 'school new'),\n",
2115 |        " (-10.794984555596727, 'school new york'),\n",
2116 |        " (-10.794984555596727, 'schumer'),\n",
2117 |        " (-10.794984555596727, 'schwarzenegg'),\n",
2118 |        " (-10.794984555596727, 'scott pruitt'),\n",
2119 |        " (-10.794984555596727, 'scrambl'),\n",
2120 |        " (-10.794984555596727, 'sea new'),\n",
2121 |        " (-10.794984555596727, 'sea new york'),\n",
2122 |        " (-10.794984555596727, 'sean spicer'),\n",
2123 |        " (-10.794984555596727, 'sear'),\n",
2124 |        " (-10.794984555596727, 'season new'),\n",
2125 |        " (-10.794984555596727, 'season new york'),\n",
2126 |        " (-10.794984555596727, 'secretari new'),\n",
2127 |        " (-10.794984555596727, 'secretari new york'),\n",
2128 |        " (-10.794984555596727, 'secur advis'),\n",
2129 |        " (-10.794984555596727, 'secur council'),\n",
2130 |        " (-10.794984555596727, 'segment'),\n",
2131 |        " (-10.794984555596727, 'self drive car'),\n",
2132 |        " (-10.794984555596727, 'senat breitbart'),\n",
2133 |        " (-10.794984555596727, 'senat confirm'),\n",
2134 |        " (-10.794984555596727, 'settlement new'),\n",
2135 |        " (-10.794984555596727, 'settlement new york'),\n",
2136 |        " (-10.794984555596727, 'sex offend'),\n",
2137 |        " (-10.794984555596727, 'sexual abus'),\n",
2138 |        " (-10.794984555596727, 'sharp'),\n",
2139 |        " (-10.794984555596727, 'shinzo'),\n",
2140 |        " (-10.794984555596727, 'shinzo abe'),\n",
2141 |        " (-10.794984555596727, 'shoot new'),\n",
2142 |        " (-10.794984555596727, 'shoot new york'),\n",
2143 |        " (-10.794984555596727, 'show new'),\n",
2144 |        " (-10.794984555596727, 'show new york'),\n",
2145 |        " (-10.794984555596727, 'skill'),\n",
2146 |        " (-10.794984555596727, 'skip'),\n",
2147 |        " (-10.794984555596727, 'smile'),\n",
2148 |        " (-10.794984555596727, 'smuggler'),\n",
2149 |        " (-10.794984555596727, 'somalia'),\n",
2150 |        " (-10.794984555596727, 'son law'),\n",
2151 |        " (-10.794984555596727, 'south carolina'),\n",
2152 |        " (-10.794984555596727, 'south korean'),\n",
2153 |        " (-10.794984555596727, 'spacex'),\n",
2154 |        " (-10.794984555596727, 'speaker paul'),\n",
2155 |        " (-10.794984555596727, 'speaker paul ryan'),\n",
2156 |        " (-10.794984555596727, 'specul'),\n",
2157 |        " (-10.794984555596727, 'speech breitbart'),\n",
2158 |        " (-10.794984555596727, 'speech new york'),\n",
2159 |        " (-10.794984555596727, 'spicer'),\n",
2160 |        " (-10.794984555596727, 'sport'),\n",
2161 |        " (-10.794984555596727, 'sport new'),\n",
2162 |        " (-10.794984555596727, 'sport new york'),\n",
2163 |        " (-10.794984555596727, 'spotlight'),\n",
2164 |        " (-10.794984555596727, 'stanc'),\n",
2165 |        " (-10.794984555596727, 'stanford'),\n",
2166 |        " (-10.794984555596727, 'star new'),\n",
2167 |        " (-10.794984555596727, 'star new york'),\n",
2168 |        " (-10.794984555596727, 'start new'),\n",
2169 |        " (-10.794984555596727, 'start new york'),\n",
2170 |        " (-10.794984555596727, 'state breitbart'),\n",
2171 |        " (-10.794984555596727, 'state new'),\n",
2172 |        " (-10.794984555596727, 'state new york'),\n",
2173 |        " (-10.794984555596727, 'state support'),\n",
2174 |        " (-10.794984555596727, 'state warrior'),\n",
2175 |        " (-10.794984555596727, 'stem'),\n",
2176 |        " (-10.794984555596727, 'step new'),\n",
2177 |        " (-10.794984555596727, 'step new york'),\n",
2178 |        " (-10.794984555596727, 'stephen bannon'),\n",
2179 |        " (-10.794984555596727, 'stockholm'),\n",
2180 |        " (-10.794984555596727, 'stori new'),\n",
2181 |        " (-10.794984555596727, 'stori new york'),\n",
2182 |        " (-10.794984555596727, 'strand'),\n",
2183 |        " (-10.794984555596727, 'streep'),\n",
2184 |        " (-10.794984555596727, 'street new york'),\n",
2185 |        " (-10.794984555596727, 'streisand'),\n",
2186 |        " (-10.794984555596727, 'student new'),\n",
2187 |        " (-10.794984555596727, 'student new york'),\n",
2188 |        " (-10.794984555596727, 'stumbl'),\n",
2189 |        " (-10.794984555596727, 'suburb'),\n",
2190 |        " (-10.794984555596727, 'subway'),\n",
2191 |        " (-10.794984555596727, 'suddenli'),\n",
2192 |        " (-10.794984555596727, 'sunday'),\n",
2193 |        " (-10.794984555596727, 'super bowl'),\n",
2194 |        " (-10.794984555596727, 'support donald'),\n",
2195 |        " (-10.794984555596727, 'support donald trump'),\n",
2196 |        " (-10.794984555596727, 'suprem court new'),\n",
2197 |        " (-10.794984555596727, 'swift'),\n",
2198 |        " (-10.794984555596727, 'swimmer'),\n",
2199 |        " (-10.794984555596727, 'syria new york'),\n",
2200 |        " (-10.794984555596727, 'syria strike'),\n",
2201 |        " (-10.794984555596727, 'taiwan'),\n",
2202 |        " (-10.794984555596727, 'takata'),\n",
2203 |        " (-10.794984555596727, 'takeaway'),\n",
2204 |        " (-10.794984555596727, 'taliban'),\n",
2205 |        " (-10.794984555596727, 'talk new'),\n",
2206 |        " (-10.794984555596727, 'tap'),\n",
2207 |        " (-10.794984555596727, 'tax return'),\n",
2208 |        " (-10.794984555596727, 'team new'),\n",
2209 |        " (-10.794984555596727, 'team new york'),\n",
2210 |        " (-10.794984555596727, 'temporari'),\n",
2211 |        " (-10.794984555596727, 'term new'),\n",
2212 |        " (-10.794984555596727, 'term new york'),\n",
2213 |        " (-10.794984555596727, 'terror breitbart'),\n",
2214 |        " (-10.794984555596727, 'terror new'),\n",
2215 |        " (-10.794984555596727, 'test new york'),\n",
2216 |        " (-10.794984555596727, 'texa border'),\n",
2217 |        " (-10.794984555596727, 'theresa'),\n",
2218 |        " (-10.794984555596727, 'theresa may'),\n",
2219 |        " (-10.794984555596727, 'thing new'),\n",
2220 |        " (-10.794984555596727, 'thing new york'),\n",
2221 |        " (-10.794984555596727, 'thursday'),\n",
2222 |        " (-10.794984555596727, 'thursday even'),\n",
2223 |        " (-10.794984555596727, 'thursday even brief'),\n",
2224 |        " (-10.794984555596727, 'tie new'),\n",
2225 |        " (-10.794984555596727, 'tie new york'),\n",
2226 |        " (-10.794984555596727, 'tillerson'),\n",
2227 |        " (-10.794984555596727, 'time new'),\n",
2228 |        " (-10.794984555596727, 'time new york'),\n",
2229 |        " (-10.794984555596727, 'titl new'),\n",
2230 |        " (-10.794984555596727, 'titl new york'),\n",
2231 |        " (-10.794984555596727, 'todd'),\n",
2232 |        " (-10.794984555596727, 'toll'),\n",
2233 |        " (-10.794984555596727, 'tom bradi'),\n",
2234 |        " (-10.794984555596727, 'tone'),\n",
2235 |        " (-10.794984555596727, 'tough'),\n",
2236 |        " (-10.794984555596727, 'tourist'),\n",
2237 |        " (-10.794984555596727, 'town hall'),\n",
2238 |        " (-10.794984555596727, 'town new'),\n",
2239 |        " (-10.794984555596727, 'town new york'),\n",
2240 |        " (-10.794984555596727, 'trailer breitbart'),\n",
2241 |        " (-10.794984555596727, 'tran'),\n",
2242 |        " (-10.794984555596727, 'transit team'),\n",
2243 |        " (-10.794984555596727, 'travel ban'),\n",
2244 |        " (-10.794984555596727, 'travel ban new'),\n",
2245 |        " (-10.794984555596727, 'trial new'),\n",
2246 |        " (-10.794984555596727, 'trial new york'),\n",
2247 |        " (-10.794984555596727, 'trophi'),\n",
2248 |        " (-10.794984555596727, 'trove'),\n",
2249 |        " (-10.794984555596727, 'trudeau'),\n",
2250 |        " (-10.794984555596727, 'trump admin'),\n",
2251 |        " (-10.794984555596727, 'trump border'),\n",
2252 |        " (-10.794984555596727, 'trump breitbart'),\n",
2253 |        " (-10.794984555596727, 'trump budget'),\n",
2254 |        " (-10.794984555596727, 'trump celebr'),\n",
2255 |        " (-10.794984555596727, 'trump choic'),\n",
2256 |        " (-10.794984555596727, 'trump could'),\n",
2257 |        " (-10.794984555596727, 'trump execut'),\n",
2258 |        " (-10.794984555596727, 'trump execut order'),\n",
2259 |        " (-10.794984555596727, 'trump fire'),\n",
2260 |        " (-10.794984555596727, 'trump first day'),\n",
2261 |        " (-10.794984555596727, 'trump go'),\n",
2262 |        " (-10.794984555596727, 'trump immigr'),\n",
2263 |        " (-10.794984555596727, 'trump immigr order'),\n",
2264 |        " (-10.794984555596727, 'trump keep'),\n",
2265 |        " (-10.794984555596727, 'trump may'),\n",
2266 |        " (-10.794984555596727, 'trump new york'),\n",
2267 |        " (-10.794984555596727, 'trump nomine'),\n",
2268 |        " (-10.794984555596727, 'trump order'),\n",
2269 |        " (-10.794984555596727, 'trump pick'),\n",
2270 |        " (-10.794984555596727, 'trump polici'),\n",
2271 |        " (-10.794984555596727, 'trump talk'),\n",
2272 |        " (-10.794984555596727, 'trump travel'),\n",
2273 |        " (-10.794984555596727, 'trump travel ban'),\n",
2274 |        " (-10.794984555596727, 'trump tri'),\n",
2275 |        " (-10.794984555596727, 'trump visit'),\n",
2276 |        " (-10.794984555596727, 'trump vow'),\n",
2277 |        " (-10.794984555596727, 'trump wall'),\n",
2278 |        " (-10.794984555596727, 'trump women'),\n",
2279 |        " (-10.794984555596727, 'tuesday brief'),\n",
2280 |        " (-10.794984555596727, 'tuesday brief new'),\n",
2281 |        " (-10.794984555596727, 'tuesday even'),\n",
2282 |        " (-10.794984555596727, 'tuesday even brief'),\n",
2283 |        " (-10.794984555596727, 'turmoil'),\n",
2284 |        " (-10.794984555596727, 'twitter breitbart'),\n",
2285 |        " (-10.794984555596727, 'two year'),\n",
2286 |        " (-10.794984555596727, 'uc davi'),\n",
2287 |        " (-10.794984555596727, 'unlik'),\n",
2288 |        " (-10.794984555596727, 'unmask'),\n",
2289 |        " (-10.794984555596727, 'upend'),\n",
2290 |        " (-10.794984555596727, 'uphold'),\n",
2291 |        " (-10.794984555596727, 'us new york'),\n",
2292 |        " (-10.794984555596727, 'vacat'),\n",
2293 |        " (-10.794984555596727, 'vacat new'),\n",
2294 |        " (-10.794984555596727, 'vacat new york'),\n",
2295 |        " (-10.794984555596727, 'vanish'),\n",
2296 |        " (-10.794984555596727, 'veto'),\n",
2297 |        " (-10.794984555596727, 'violenc new'),\n",
2298 |        " (-10.794984555596727, 'violenc new york'),\n",
2299 |        " (-10.794984555596727, 'virgil'),\n",
2300 |        " (-10.794984555596727, 'vogu'),\n",
2301 |        " (-10.794984555596727, 'volkswagen'),\n",
2302 |        " (-10.794984555596727, 'vote new'),\n",
2303 |        " (-10.794984555596727, 'vote new york'),\n",
2304 |        " (-10.794984555596727, 'voter id'),\n",
2305 |        " (-10.794984555596727, 'wait new'),\n",
2306 |        " (-10.794984555596727, 'wall breitbart'),\n",
2307 |        " (-10.794984555596727, 'war new'),\n",
2308 |        " (-10.794984555596727, 'war new york'),\n",
2309 |        " (-10.794984555596727, 'wari'),\n",
2310 |        " (-10.794984555596727, 'warn new'),\n",
2311 |        " (-10.794984555596727, 'warn new york'),\n",
2312 |        " (-10.794984555596727, 'warner'),\n",
2313 |        " (-10.794984555596727, 'warrior'),\n",
2314 |        " (-10.794984555596727, 'washington new'),\n",
2315 |        " (-10.794984555596727, 'washington new york'),\n",
2316 |        " (-10.794984555596727, 'water new'),\n",
2317 |        " (-10.794984555596727, 'water new york'),\n",
2318 |        " (-10.794984555596727, 'way new'),\n",
2319 |        " (-10.794984555596727, 'way new york'),\n",
2320 |        " (-10.794984555596727, 'wednesday brief'),\n",
2321 |        " (-10.794984555596727, 'wednesday brief new'),\n",
2322 |        " (-10.794984555596727, 'wednesday even'),\n",
2323 |        " (-10.794984555596727, 'wednesday even brief'),\n",
2324 |        " (-10.794984555596727, 'week new'),\n",
2325 |        " (-10.794984555596727, 'week new york'),\n",
2326 |        " (-10.794984555596727, 'weekend brief'),\n",
2327 |        " (-10.794984555596727, 'weekend brief new'),\n",
2328 |        " (-10.794984555596727, 'weekend new'),\n",
2329 |        " (-10.794984555596727, 'weekend new york'),\n",
2330 |        " (-10.794984555596727, 'well fargo'),\n",
2331 |        " (-10.794984555596727, 'west bank'),\n",
2332 |        " (-10.794984555596727, 'westminst'),\n",
2333 |        " (-10.794984555596727, 'wh'),\n",
2334 |        " (-10.794984555596727, 'white hous breitbart'),\n",
2335 |        " (-10.794984555596727, 'white hous new'),\n",
2336 |        " (-10.794984555596727, 'white nationalist'),\n",
2337 |        " (-10.794984555596727, 'wider'),\n",
2338 |        " (-10.794984555596727, 'wield'),\n",
2339 |        " (-10.794984555596727, 'wildfir'),\n",
2340 |        " (-10.794984555596727, 'wimbledon'),\n",
2341 |        " (-10.794984555596727, 'win breitbart'),\n",
2342 |        " (-10.794984555596727, 'wiretap claim'),\n",
2343 |        " (-10.794984555596727, 'women march'),\n",
2344 |        " (-10.794984555596727, 'women new'),\n",
2345 |        " (-10.794984555596727, 'women new york'),\n",
2346 |        " (-10.794984555596727, 'work new'),\n",
2347 |        " (-10.794984555596727, 'work new york'),\n",
2348 |        " (-10.794984555596727, 'world new'),\n",
2349 |        " (-10.794984555596727, 'world new york'),\n",
2350 |        " (-10.794984555596727, 'worri new'),\n",
2351 |        " (-10.794984555596727, 'worri new york'),\n",
2352 |        " (-10.794984555596727, 'wrestl'),\n",
2353 |        " (-10.794984555596727, 'yahoo'),\n",
2354 |        " (-10.794984555596727, 'year breitbart'),\n",
2355 |        " (-10.794984555596727, 'year eve'),\n",
2356 |        " (-10.794984555596727, 'year new york'),\n",
2357 |        " (-10.794984555596727, 'york new'),\n",
2358 |        " (-10.794984555596727, 'york new york'),\n",
2359 |        " (-10.794984555596727, 'york state'),\n",
2360 |        " (-10.794984555596727, 'zone new'),\n",
2361 |        " (-10.794984555596727, 'zone new york'),\n",
2362 |        " (-10.794984555596727, 'zoo'),\n",
2363 |        " (-10.047770153766505, 'academi'),\n",
2364 |        " (-10.047770153766505, 'accid'),\n",
2365 |        " (-10.047770153766505, 'aclu'),\n",
2366 |        " (-10.047770153766505, 'acr'),\n",
2367 |        " (-10.047770153766505, 'adopt'),\n",
2368 |        " (-10.047770153766505, 'ahead trump'),\n",
2369 |        " (-10.047770153766505, 'airbnb'),\n",
2370 |        " (-10.047770153766505, 'airlin'),\n",
2371 |        " (-10.047770153766505, 'album'),\n",
2372 |        " (-10.047770153766505, 'alex jone'),\n",
2373 |        " (-10.047770153766505, 'allegedli'),\n",
2374 |        " (-10.047770153766505, 'allianc'),\n",
2375 |        " (-10.047770153766505, 'america new'),\n",
2376 |        " (-10.047770153766505, 'anchor'),\n",
2377 |        " (-10.047770153766505, 'anger'),\n",
2378 |        " (-10.047770153766505, 'anti israel'),\n",
2379 |        " (-10.047770153766505, 'anti semit'),\n",
2380 |        " (-10.047770153766505, 'anymor'),\n",
2381 |        " (-10.047770153766505, 'applic'),\n",
2382 |        " (-10.047770153766505, 'approach'),\n",
2383 |        " (-10.047770153766505, 'appropri'),\n",
2384 |        " (-10.047770153766505, 'around world'),\n",
2385 |        " (-10.047770153766505, 'artifici'),\n",
2386 |        " (-10.047770153766505, 'asylum seeker'),\n",
2387 |        " (-10.047770153766505, 'atlant'),\n",
2388 |        " (-10.047770153766505, 'attack polic'),\n",
2389 |        " (-10.047770153766505, 'attack trump'),\n",
2390 |        " (-10.047770153766505, 'auto'),\n",
2391 |        " (-10.047770153766505, 'aviv'),\n",
2392 |        " (-10.047770153766505, 'back trump'),\n",
2393 |        " (-10.047770153766505, 'baghdad'),\n",
2394 |        " (-10.047770153766505, 'band'),\n",
2395 |        " (-10.047770153766505, 'barrier'),\n",
2396 |        " (-10.047770153766505, 'barron'),\n",
2397 |        " (-10.047770153766505, 'beach'),\n",
2398 |        " (-10.047770153766505, 'beer'),\n",
2399 |        " (-10.047770153766505, 'behead'),\n",
2400 |        " (-10.047770153766505, 'beij'),\n",
2401 |        " (-10.047770153766505, 'ben'),\n",
2402 |        " (-10.047770153766505, 'berlin'),\n",
2403 |        " (-10.047770153766505, 'bet'),\n",
2404 |        " (-10.047770153766505, 'beyonc'),\n",
2405 |        " (-10.047770153766505, 'bill cosbi'),\n",
2406 |        " (-10.047770153766505, 'bitter'),\n",
2407 |        " (-10.047770153766505, 'blasio'),\n",
2408 |        " (-10.047770153766505, 'block trump'),\n",
2409 |        " (-10.047770153766505, 'boat'),\n",
2410 |        " (-10.047770153766505, 'boe'),\n",
2411 |        " (-10.047770153766505, 'boko'),\n",
2412 |        " (-10.047770153766505, 'boko haram'),\n",
2413 |        " (-10.047770153766505, 'bolton'),\n",
2414 |        " (-10.047770153766505, 'bomber'),\n",
2415 |        " (-10.047770153766505, 'bori'),\n",
2416 |        " (-10.047770153766505, 'boss'),\n",
2417 |        " (-10.047770153766505, 'bow'),\n",
2418 |        " (-10.047770153766505, 'branch'),\n",
2419 |        " (-10.047770153766505, 'breitbart news'),\n",
2420 |        " (-10.047770153766505, 'bribe'),\n",
2421 |        " (-10.047770153766505, 'brought'),\n",
2422 |        " (-10.047770153766505, 'built'),\n",
2423 |        " (-10.047770153766505, 'bull'),\n",
2424 |        " ...]"
2425 |       ]
2426 |      },
2427 |      "execution_count": 135,
2428 |      "metadata": {},
2429 |      "output_type": "execute_result"
2430 |     }
2431 |    ],
2432 |    "source": [
2433 |     "### Most fake\n",
2434 |     "sorted(zip(classifier.coef_[0], feature_names))[:5000]"
2435 |    ]
2436 |   },
2437 |   {
2438 |    "cell_type": "code",
2439 |    "execution_count": null,
2440 |    "metadata": {},
2441 |    "outputs": [],
2442 |    "source": []
2443 |   }
2444 |  ],
2445 |  "metadata": {
2446 |   "kernelspec": {
2447 |    "display_name": "Python 3",
2448 |    "language": "python",
2449 |    "name": "python3"
2450 |   },
2451 |   "language_info": {
2452 |    "codemirror_mode": {
2453 |     "name": "ipython",
2454 |     "version": 3
2455 |    },
2456 |    "file_extension": ".py",
2457 |    "mimetype": "text/x-python",
2458 |    "name": "python",
2459 |    "nbconvert_exporter": "python",
2460 |    "pygments_lexer": "ipython3",
2461 |    "version": "3.6.10"
2462 |   }
2463 |  },
2464 |  "nbformat": 4,
2465 |  "nbformat_minor": 2
2466 | }
2467 | 


--------------------------------------------------------------------------------
/README.md:
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1 | # Fake-News-Classifier


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/fake-news/submit.csv:
--------------------------------------------------------------------------------
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5202 | 


--------------------------------------------------------------------------------