Keyword_Extraction.ipynb

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      "name": "Keyword Extraction.ipynb",
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      "name": "python3",
      "display_name": "Python 3"
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/kush1912/Phocket---ML-Internship/blob/master/Keyword_Extraction.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HW0V_Tu5NKX_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SjwdvuxDOR8u",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "df = pd.read_csv('Kaggle.csv')\n",
        "print(df.shape)\n",
        "df.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(1311, 4)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>headline</th>\n",
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              "      <td>5bac1099068401528a2dd1ee</td>\n",
              "      <td>{\"main\":\"New Allegation of Drunken Assault Sur...</td>\n",
              "      <td>2018-09-26T23:04:52+0000</td>\n",
              "      <td>WASHINGTON — The U.S. Senate Judiciary Committ...</td>\n",
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              "      <td>{\"main\":\"Darktrace Hits $1.65 Billion Valuatio...</td>\n",
              "      <td>2018-09-26T23:04:53+0000</td>\n",
              "      <td>(Reuters) - Cyber-security firm Darktrace said...</td>\n",
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              "      <td>2018-09-26T23:07:50+0000</td>\n",
              "      <td>BERLIN — President Tayyip Erdogan, on the eve ...</td>\n",
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              "      <th>3</th>\n",
              "      <td>5bac114c068401528a2dd1f1</td>\n",
              "      <td>{\"main\":\"Italy to Present Budget Targets After...</td>\n",
              "      <td>2018-09-26T23:07:52+0000</td>\n",
              "      <td>ROME — Italy's new government plans to present...</td>\n",
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              "      <th>4</th>\n",
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              "      <td>{\"main\":\"Trump’s America: Reckless, Alone and ...</td>\n",
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              "      <td>Trailed by the Russia investigation, back-stab...</td>\n",
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              "                        _id  ...                                               body\n",
              "0  5bac1099068401528a2dd1ee  ...  WASHINGTON — The U.S. Senate Judiciary Committ...\n",
              "1  5bac1099068401528a2dd1ef  ...  (Reuters) - Cyber-security firm Darktrace said...\n",
              "2  5bac114a068401528a2dd1f0  ...  BERLIN — President Tayyip Erdogan, on the eve ...\n",
              "3  5bac114c068401528a2dd1f1  ...  ROME — Italy's new government plans to present...\n",
              "4  5bac117d068401528a2dd1f2  ...  Trailed by the Russia investigation, back-stab...\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "akpimzKsipNx",
        "colab_type": "code",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "#Fetch wordcount for body and headline\n",
        "df['word_count_body'] = df['body'].apply(lambda x: len(str(x).split(\" \")))\n",
        "dfb = dfb[['body','word_count_body']]\n",
        "dfb.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>body</th>\n",
              "      <th>word_count_body</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>WASHINGTON — The U.S. Senate Judiciary Committ...</td>\n",
              "      <td>100</td>\n",
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              "      <th>1</th>\n",
              "      <td>(Reuters) - Cyber-security firm Darktrace said...</td>\n",
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              "      <th>2</th>\n",
              "      <td>BERLIN — President Tayyip Erdogan, on the eve ...</td>\n",
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              "      <td>ROME — Italy's new government plans to present...</td>\n",
              "      <td>434</td>\n",
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              "      <th>4</th>\n",
              "      <td>Trailed by the Russia investigation, back-stab...</td>\n",
              "      <td>892</td>\n",
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            "text/plain": [
              "                                                body  word_count_body\n",
              "0  WASHINGTON — The U.S. Senate Judiciary Committ...              100\n",
              "1  (Reuters) - Cyber-security firm Darktrace said...              240\n",
              "2  BERLIN — President Tayyip Erdogan, on the eve ...              515\n",
              "3  ROME — Italy's new government plans to present...              434\n",
              "4  Trailed by the Russia investigation, back-stab...              892"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        }
      },
      "source": [
        "dfb.word_count_body.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    1311.000000\n",
              "mean      557.732265\n",
              "std       441.778314\n",
              "min        24.000000\n",
              "25%       249.500000\n",
              "50%       456.000000\n",
              "75%       783.500000\n",
              "max      5191.000000\n",
              "Name: word_count_body, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        }
      },
      "source": [
        "#Identify common words\n",
        "freq = pd.Series(' '.join(dfb['body']).split()).value_counts()[:20]\n",
        "freq\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "the     37356\n",
              "to      19576\n",
              "a       18584\n",
              "of      17391\n",
              "and     17286\n",
              "in      14970\n",
              "that     8313\n",
              "for      6928\n",
              "on       6580\n",
              "was      5656\n",
              "is       5379\n",
              "with     5292\n",
              "The      4925\n",
              "he       4284\n",
              "by       4142\n",
              "at       3953\n",
              "as       3947\n",
              "said     3846\n",
              "his      3710\n",
              "it       3354\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jclk2A80jyuP",
        "colab_type": "code",
        "outputId": "a989a149-423e-4a03-9b3d-6b8a9fffe6d0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "(import re\n",
        "import nltk\n",
        "nltk.download('stopwords')\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem.porter import PorterStemmer\n",
        "from nltk.tokenize import RegexpTokenizer\n",
        "nltk.download('wordnet') \n",
        "from nltk.stem.wordnet import WordNetLemmatizer"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Package wordnet is already up-to-date!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MT9nKFmClB0W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "stop_words = set(stopwords.words(\"english\"))\n",
        "#stop_words = stop_words.union(s_w)\n",
        "corpus = []\n",
        "for i in range(0,1311 ):\n",
        "    #Remove punctuations\n",
        "    text = re.sub('[^a-zA-Z]', ' ', dfb['body'][i])\n",
        "    \n",
        "    #Convert to lowercase\n",
        "    text = text.lower()\n",
        "    \n",
        "    #remove tags\n",
        "    text=re.sub(\"&lt;/?.*?&gt;\",\" &lt;&gt; \",text)\n",
        "    \n",
        "    # remove special characters and digits\n",
        "    text=re.sub(\"(\\\\d|\\\\W)+\",\" \",text)\n",
        "    \n",
        "    \n",
        "    ##Convert to list from string\n",
        "    text = text.split()\n",
        "    \n",
        "    ##Stemming\n",
        "    ps=PorterStemmer()\n",
        "    #Lemmatisation\n",
        "    lem = WordNetLemmatizer()\n",
        "    text = [lem.lemmatize(word) for word in text if not word in  \n",
        "            stop_words] \n",
        "    text = \" \".join(text)\n",
        "    corpus.append(text)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "97U6BVBqlpj_",
        "colab_type": "code",
        "outputId": "fd2c72b0-5023-495f-9754-eb136cc96bdc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        }
      },
      "source": [
        "#Word cloud\n",
        "from os import path\n",
        "from PIL import Image\n",
        "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
        "import matplotlib.pyplot as plt\n",
        "% matplotlib inline\n",
        "wordcloud = WordCloud(\n",
        "                          background_color='white',\n",
        "                          stopwords=stop_words,\n",
        "                          max_words=100,\n",
        "                          max_font_size=50, \n",
        "                          random_state=42\n",
        "                         ).generate(str(corpus))\n",
        "print(wordcloud)\n",
        "fig = plt.figure(1)\n",
        "plt.imshow(wordcloud)\n",
        "plt.axis('off')\n",
        "plt.show()\n",
        "fig.savefig(\"word1.png\", dpi=900)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<wordcloud.wordcloud.WordCloud object at 0x7f70d0c3cb70>\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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28s2xffxwyxgGhLufpMhdJoycy+uz7qV1fKhb9yvYV5BB98CqzWsB1mY5DlZv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\nCAQCgUCGEAaBQCAQyPh/I/tlfruG97MAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pRfskC5LnRyT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "import re\n",
        "cv=CountVectorizer(max_df=0.7,min_df = 0.1, stop_words=stop_words, max_features=10000, ngram_range=(1,3))\n",
        "X=cv.fit_transform(corpus)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VQyPQVl92t1O",
        "colab_type": "code",
        "outputId": "effee37f-e8c0-4329-9d90-acb4cef59668",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1227
        }
      },
      "source": [
        "from sklearn.feature_extraction.text import TfidfTransformer\n",
        " \n",
        "tfidf_transformer=TfidfTransformer(smooth_idf=True,use_idf=True)\n",
        "tfidf_transformer.fit(X)\n",
        "\n",
        "# get feature names\n",
        "feature_names=cv.get_feature_names()\n",
        " \n",
        "# fetch document for which keywords needs to be extracted\n",
        "for i in range(5):\n",
        "  doc =corpus[i]\n",
        "  tf_idf_vector=tfidf_transformer.transform(cv.transform([doc]))\n",
        "  sorted_items=sort_coo(tf_idf_vector.tocoo())\n",
        "  keywords=extract_topn_from_vector(feature_names,sorted_items,10)\n",
        "  print(\"\\Body:\")\n",
        "  print(doc)\n",
        "  print(\"\\nKeywords:\")\n",
        "  for k in keywords:\n",
        "      print(k,keywords[k])\n",
        "  \n",
        "  \n",
        "#doc=corpus[1]\n",
        " \n",
        "#generate tf-idf for the given document\n",
        "#tf_idf_vector=tfidf_transformer.transform(cv.transform([doc]))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\\Body:\n",
            "washington u senate judiciary committee looking least one additional allegation misconduct supreme court nominee brett kavanaugh nbc news reported wednesday according anonymous complaint letter sent republican senator cory gardner kavanaugh physically assaulted woman socialized washington area inebriated nbc news said citing letter multiple people familiar process kavanaugh denied allegation letter call tuesday committee staff nbc news said citing unnamed source reporting eric beech editing mohammad zargham\n",
            "\n",
            "Keywords:\n",
            "kavanaugh 0.453\n",
            "news 0.386\n",
            "allegation 0.296\n",
            "committee 0.289\n",
            "washington 0.246\n",
            "nominee 0.161\n",
            "looking 0.16\n",
            "process 0.156\n",
            "area 0.154\n",
            "brett kavanaugh 0.151\n",
            "\\Body:\n",
            "reuters cyber security firm darktrace said wednesday raised million latest funding round led european private equity firm vitruvian partner llp valuing company billion series e funding round also included existing investor kkr co inc teneleven venture company founded raised total million far chief executive officer nicole eagan told reuters latest fund used increase headcount darktrace employ people present expects end fiscal employee eagan said company plan go public moment looking forward deal darktrace differentiates using advanced machine learning mathematics developed university cambridge identify abnormality company network might attack company also aim tackle latest phenomenon artificial intelligence based cyber attack ai based software starting see early sign rudimentary machine learning used cyber attack estimate next month start seeing much sophisticated ai based attack eagan said darktrace co headquartered britain cambridge san francisco customer including chipmaker micron technology inc international airport like london gatwick airport financial institution aig inc reporting akanksha rana sonam rai bengaluru editing shounak dasgupta\n",
            "\n",
            "Keywords:\n",
            "company 0.446\n",
            "attack 0.43\n",
            "latest 0.329\n",
            "based 0.302\n",
            "reuters 0.218\n",
            "used 0.19\n",
            "million 0.175\n",
            "also 0.113\n",
            "officer 0.111\n",
            "european 0.111\n",
            "\\Body:\n",
            "berlin president tayyip erdogan eve visit germany urged designate terrorist organization fethullah gulen movement turkey blame coup attempt germany previously rejected request saying need proof linking network supporter u based cleric turkey label gulenist terrorist organisation feto failed attempt overthrow turkish government primary expectation federal republic germany recognize feto responsible attempted putsch britain erdogan wrote wednesday website frankfurter allgemeine zeitung newspaper relation ankara berlin badly strained crackdown turkey failed coup dozen german imprisoned pursuing goal increasing trade economic tie erdogan wrote sake prosperity future country let u increase mutual interest reduce problem year breakneck growth turkey crisis heavy foreign debt load increased turkish lira percent slide year sell intensified president donald trump imposed sanction retaliation detention u pastor germany home three million people turkish ethnic background ankara angry berlin giving asylum alleged coup plotter german authority fret erdogan influence germany turk official warned erdogan campaigning overtly open mosque saturday cologne home one germany largest turkish community germany european union rely turkey stem flow syrian war refugee prevent repeat event million migrant arrived germany convulsing european politics weakening merkel need money hope get germany said former green leader cem ozdemir critic erdogan germany prominent politician turkish background regularly demonized turkish pro government medium use speak many people rotting turkish prison disagreeing erdogan added interview public broadcaster swr expected announcement nyon switzerland thursday two soccer mad nation get host uefa championship least diplomat concern erdogan plan meeting merkel three day visit country official said financial aid crisis hit economy agenda berlin deflects concern granting erdogan state visit insisting human right high agenda many senior politician including merkel staying away banquet president frank walter steinmeier giving honor friday ozdemir hoping send message erdogan face fact opposition part politics germany thrown prison silenced like turkey told die welt interview additional reporting stephen adler parisa hafezi ezgi erkoyun daren butler editing richard balmforth\n",
            "\n",
            "Keywords:\n",
            "european 0.239\n",
            "president 0.233\n",
            "interview 0.231\n",
            "wrote 0.23\n",
            "government 0.195\n",
            "official 0.19\n",
            "million 0.19\n",
            "need 0.184\n",
            "home 0.18\n",
            "country 0.169\n",
            "\\Body:\n",
            "rome italy new government plan present first budget target thursday ending drawn tussle pitted coalition party economy minister giovanni tria anti establishment star movement right wing league pushing tria academic affiliated either party ramp fiscal deficit finance promise tax cut higher welfare spending cabinet meet p gmt sign new target economic growth deficit public debt attention focussed deficit goal tria softened initial insistence deficit exceed percent gross domestic product willing accept ratio around percent government source said would compare current target percent year would sharply percent goal penciled previous centre left administration however league star formed government june pushing deficit percent percent fund election promise late wednesday source ruling majority said party wanted goal set percent meeting continued try break impasse target form framework budget must approved cabinet oct market nerve tria said wednesday budget would include party flagship policy including basic income poor lower retirement age though remains unclear wide ranging measure initially financed league star rival ahead inconclusive election march say govern together full five year term phase policy gradually financial market nervous since government took office due fear spending plan boost italy debt already highest euro zone greece proportion gdp around percent italy government bond rallied week expectation tria water coalition radical proposal keep lid public finance speech wednesday tria tried strike balance promising growth friendly expansionary budget maintaining trust market well avoiding head clash european commission working mix policy show everyone confidence italy public finance economic growth said editing andrew roche\n",
            "\n",
            "Keywords:\n",
            "percent 0.543\n",
            "government 0.344\n",
            "party 0.295\n",
            "league 0.252\n",
            "market 0.247\n",
            "policy 0.244\n",
            "wednesday 0.198\n",
            "public 0.196\n",
            "election 0.154\n",
            "plan 0.148\n",
            "\\Body:\n",
            "trailed russia investigation back stabbing within administration looming midterm election judge brett kavanaugh troubled nomination president trump arrived week new york distracted siege first blush mr trump second appearance united nation general assembly may seemed like self congratulatory bluster nationalist isolationism rote genuflection altar sovereignty much like last year time american suffered added humiliation watching world burst laughing president whose false bravado longer induces shock invite derision given drama easy mistake mr trump visit mash meeting muddled message careful observer diverted discerning president real purpose united nation ominous four critical policy front president trump foreshadowed intention ignore greatest threat stoke fresh conflict neither necessary wise telling rabidly ideological speech general assembly president substantive remark security council wednesday ample reason conclude mr trump generally mean say eventually much threatens first president trump doubled determination exonerate russia minimize serious threat pose u ally security council session devoted preventing proliferation chemical biological nuclear weapon mr trump ignored russia recent attack deadly nerve agent severely sickened four people britain may killed one neglected name russia principal violator united nation sanction north korea failed condemn russia repeated lie cover syria use chemical weapon visit whose central theme american sovereignty mr trump mention russia extraordinary continuing interference democratic process reason hope soon become clear president trump remains determined coddle dangerous adversary increasing detriment national security second president trump persisted fueling false impression effectively addressed grave threat north korea granted reduction tension north south korea mr trump dialogue kim jong un north korean leader preferable fire fury north moratorium missile nuclear test necessary first step closer complete verifiable irreversible denuclearization north korea time last year fact president trump praise mr kim courage declares fondness newest murderous dictator friend north driving wedge united state regional ally playing time administration washington seems equally content run clock sustain illusion progress third president trump escalated crisis china economic political security realm without offering shred evidence mr trump accused china security council chamber attempting interfere midterm election administration elaborated want u win first president ever challenge china trade shocking charge aim equate china russia whose proven election meddling mentioned president stoke anti chinese hostility within republican base thereby establishing excuse party fails hold house even senate trump administration consistently underestimate china seemingly assumes china willingness take public vilification lying risk rose measurably week trade war china transform wider economic even damaging conflict finally trump administration loudly reiterated resolve crush iran economically potentially militarily may dishonest pretext preventing iran acquiring nuclear weapon mr trump withdrew horrible iran nuclear deal ensured week vowed increase sanction iran warning individual entity fails comply sanction face severe consequence national security adviser john bolton raised ante directly targeting closest ally intend allow sanction evaded europe anybody else mr bolton warned iran cross u ally partner harm citizen continue lie cheat deceive yes indeed hell pay added watching come intensified saber rattling iran presage prospect war persian gulf president trump determine need greater distraction generate day work twitter mr trump trip united nation week set america ever dangerous course courting conflict powerful country seek ignoring persistent threat committed adversary capacity u grave harm troubling time black white america stand alone reckless ridiculed among nation world\n",
            "\n",
            "Keywords:\n",
            "trump 0.594\n",
            "mr 0.371\n",
            "president 0.348\n",
            "north 0.278\n",
            "security 0.23\n",
            "nation 0.183\n",
            "united 0.156\n",
            "whose 0.121\n",
            "election 0.113\n",
            "week 0.096\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DpFIi4Qz2uv-",
        "colab_type": "code",
        "outputId": "7f968c9d-8009-4202-89e6-8389208097dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 190
        }
      },
      "source": [
        "#Function for sorting tf_idf in descending order\n",
        "from scipy.sparse import coo_matrix\n",
        "def sort_coo(coo_matrix):\n",
        "    tuples = zip(coo_matrix.col, coo_matrix.data)\n",
        "    return sorted(tuples, key=lambda x: (x[1], x[0]), reverse=True)\n",
        " \n",
        "def extract_topn_from_vector(feature_names, sorted_items, topn=10):\n",
        "    \"\"\"get the feature names and tf-idf score of top n items\"\"\"\n",
        "    \n",
        "    #use only topn items from vector\n",
        "    sorted_items = sorted_items[:topn]\n",
        " \n",
        "    score_vals = []\n",
        "    feature_vals = []\n",
        "    \n",
        "    # word index and corresponding tf-idf score\n",
        "    for idx, score in sorted_items:\n",
        "        \n",
        "        #keep track of feature name and its corresponding score\n",
        "        score_vals.append(round(score, 3))\n",
        "        feature_vals.append(feature_names[idx])\n",
        " \n",
        "    #create a tuples of feature,score\n",
        "    #results = zip(feature_vals,score_vals)\n",
        "    results= {}\n",
        "    for idx in range(len(feature_vals)):\n",
        "        results[feature_vals[idx]]=score_vals[idx]\n",
        "    \n",
        "    return results\n",
        "  \n",
        "#sort the tf-idf vectors by descending order of scores\n",
        "sorted_items=sort_coo(tf_idf_vector.tocoo())\n",
        "#extract only the top n; n here is 10\n",
        "keywords=extract_topn_from_vector(feature_names,sorted_items,5)\n",
        " \n",
        "# now print the results\n",
        "print(\"\\Body:\")\n",
        "print(doc)\n",
        "print(\"\\nKeywords:\")\n",
        "for k in keywords:\n",
        "    print(k,keywords[k])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\\Body:\n",
            "reuters cyber security firm darktrace said wednesday raised million latest funding round led european private equity firm vitruvian partner llp valuing company billion series e funding round also included existing investor kkr co inc teneleven venture company founded raised total million far chief executive officer nicole eagan told reuters latest fund used increase headcount darktrace employ people present expects end fiscal employee eagan said company plan go public moment looking forward deal darktrace differentiates using advanced machine learning mathematics developed university cambridge identify abnormality company network might attack company also aim tackle latest phenomenon artificial intelligence based cyber attack ai based software starting see early sign rudimentary machine learning used cyber attack estimate next month start seeing much sophisticated ai based attack eagan said darktrace co headquartered britain cambridge san francisco customer including chipmaker micron technology inc international airport like london gatwick airport financial institution aig inc reporting akanksha rana sonam rai bengaluru editing shounak dasgupta\n",
            "\n",
            "Keywords:\n",
            "company 0.446\n",
            "attack 0.43\n",
            "latest 0.329\n",
            "based 0.302\n",
            "reuters 0.218\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4PSkGv4uo0QY",
        "colab_type": "code",
        "outputId": "9ed82ec0-7386-4677-8714-f4373520ab2c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 877
        }
      },
      "source": [
        "#Most frequently occuring words\n",
        "def get_top_n_words(corpus, n=None):\n",
        "    vec = CountVectorizer().fit(corpus)\n",
        "    bag_of_words = vec.transform(corpus)\n",
        "    sum_words = bag_of_words.sum(axis=0) \n",
        "    words_freq = [(word, sum_words[0, idx]) for word, idx in      \n",
        "                   vec.vocabulary_.items()]\n",
        "    words_freq =sorted(words_freq, key = lambda x: x[1], \n",
        "                       reverse=True)\n",
        "    return words_freq[:n]\n",
        "  \n",
        "#Convert most freq words to dataframe for plotting bar plot\n",
        "top_words = get_top_n_words(corpus, n=20)\n",
        "top_df = pd.DataFrame(top_words)\n",
        "top_df.columns=[\"Word\", \"Freq\"]\n",
        "\n",
        "#Barplot of most freq words\n",
        "import seaborn as sns\n",
        "sns.set(rc={'figure.figsize':(13,8)})\n",
        "g = sns.barplot(x=\"Word\", y=\"Freq\", data=top_df)\n",
        "g.set_xticklabels(g.get_xticklabels(), rotation=30)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(0, 0, 'said'),\n",
              " Text(0, 0, 'year'),\n",
              " Text(0, 0, 'mr'),\n",
              " Text(0, 0, 'one'),\n",
              " Text(0, 0, 'new'),\n",
              " Text(0, 0, 'time'),\n",
              " Text(0, 0, 'would'),\n",
              " Text(0, 0, 'state'),\n",
              " Text(0, 0, 'two'),\n",
              " Text(0, 0, 'first'),\n",
              " Text(0, 0, 'trump'),\n",
              " Text(0, 0, 'also'),\n",
              " Text(0, 0, 'last'),\n",
              " Text(0, 0, 'like'),\n",
              " Text(0, 0, 'say'),\n",
              " Text(0, 0, 'kavanaugh'),\n",
              " Text(0, 0, 'week'),\n",
              " Text(0, 0, 'people'),\n",
              " Text(0, 0, 'game'),\n",
              " Text(0, 0, 'woman')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 155
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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erCVLlrg+dv/99ysxMVFNmzZ142QAAAAALueGPgULAAAAwI3lhg2QiIgInTx5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\nTGw4AGGMMcYYY4yJzf8DSCYlqNvgc60AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 936x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ufnLe5Pqo_Wr",
        "colab_type": "code",
        "outputId": "e1b62034-27b4-45a5-bd18-5371c6710519",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1281
        }
      },
      "source": [
        "#Most frequently occuring Bi-grams\n",
        "def get_top_n2_words(corpus, n=None):\n",
        "    vec1 = CountVectorizer(ngram_range=(2,2),  \n",
        "            max_features=2000).fit(corpus)\n",
        "    bag_of_words = vec1.transform(corpus)\n",
        "    sum_words = bag_of_words.sum(axis=0) \n",
        "    words_freq = [(word, sum_words[0, idx]) for word, idx in     \n",
        "                  vec1.vocabulary_.items()]\n",
        "    words_freq =sorted(words_freq, key = lambda x: x[1], \n",
        "                reverse=True)\n",
        "    return words_freq[:n]\n",
        "  \n",
        "  \n",
        "top2_words = get_top_n2_words(corpus, n=20)\n",
        "top2_df = pd.DataFrame(top2_words)\n",
        "top2_df.columns=[\"Bi-gram\", \"Freq\"]\n",
        "print(top2_df)\n",
        "\n",
        "#Barplot of most freq Bi-grams\n",
        "import seaborn as sns\n",
        "sns.set(rc={'figure.figsize':(13,8)})\n",
        "h=sns.barplot(x=\"Bi-gram\", y=\"Freq\", data=top2_df)\n",
        "h.set_xticklabels(h.get_xticklabels(), rotation=45)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "                Bi-gram  Freq\n",
            "0              new york   649\n",
            "1          united state   548\n",
            "2              year old   374\n",
            "3       judge kavanaugh   363\n",
            "4         supreme court   339\n",
            "5              mr trump   336\n",
            "6             last year   297\n",
            "7             last week   236\n",
            "8       brett kavanaugh   221\n",
            "9        sexual assault   219\n",
            "10         donald trump   202\n",
            "11             year ago   182\n",
            "12     president donald   166\n",
            "13            dr blasey   164\n",
            "14  judiciary committee   160\n",
            "15          white house   157\n",
            "16          high school   157\n",
            "17        united nation   153\n",
            "18      president trump   149\n",
            "19       said statement   147\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(0, 0, 'new york'),\n",
              " Text(0, 0, 'united state'),\n",
              " Text(0, 0, 'year old'),\n",
              " Text(0, 0, 'judge kavanaugh'),\n",
              " Text(0, 0, 'supreme court'),\n",
              " Text(0, 0, 'mr trump'),\n",
              " Text(0, 0, 'last year'),\n",
              " Text(0, 0, 'last week'),\n",
              " Text(0, 0, 'brett kavanaugh'),\n",
              " Text(0, 0, 'sexual assault'),\n",
              " Text(0, 0, 'donald trump'),\n",
              " Text(0, 0, 'year ago'),\n",
              " Text(0, 0, 'president donald'),\n",
              " Text(0, 0, 'dr blasey'),\n",
              " Text(0, 0, 'judiciary committee'),\n",
              " Text(0, 0, 'white house'),\n",
              " Text(0, 0, 'high school'),\n",
              " Text(0, 0, 'united nation'),\n",
              " Text(0, 0, 'president trump'),\n",
              " Text(0, 0, 'said statement')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 156
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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53/sQX29Dk/xHdTOF+Jp/OFHdPH6+5p9nrW6eBnVsHknyalS3ZnL4OwxOckF1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\nAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 936x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yzwFWw0apr5g",
        "colab_type": "code",
        "outputId": "ded2c588-0e7c-4b30-befb-63bc6517fa27",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1323
        }
      },
      "source": [
        "#Most frequently occuring Tri-grams\n",
        "def get_top_n3_words(corpus, n=None):\n",
        "    vec1 = CountVectorizer(ngram_range=(3,3), \n",
        "           max_features=2000).fit(corpus)\n",
        "    bag_of_words = vec1.transform(corpus)\n",
        "    sum_words = bag_of_words.sum(axis=0) \n",
        "    words_freq = [(word, sum_words[0, idx]) for word, idx in     \n",
        "                  vec1.vocabulary_.items()]\n",
        "    words_freq =sorted(words_freq, key = lambda x: x[1], \n",
        "                reverse=True)\n",
        "    return words_freq[:n]\n",
        "top3_words = get_top_n3_words(corpus, n=20)\n",
        "top3_df = pd.DataFrame(top3_words)\n",
        "top3_df.columns=[\"Tri-gram\", \"Freq\"]\n",
        "print(top3_df)\n",
        "#Barplot of most freq Tri-grams\n",
        "import seaborn as sns\n",
        "sns.set(rc={'figure.figsize':(13,8)})\n",
        "j=sns.barplot(x=\"Tri-gram\", y=\"Freq\", data=top3_df)\n",
        "j.set_xticklabels(j.get_xticklabels(), rotation=45)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "                        Tri-gram  Freq\n",
            "0         president donald trump   166\n",
            "1          christine blasey ford   129\n",
            "2                  new york time   122\n",
            "3          supreme court nominee   109\n",
            "4     senate judiciary committee    97\n",
            "5          judge brett kavanaugh    76\n",
            "6                  new york city    69\n",
            "7        nominee brett kavanaugh    67\n",
            "8            court nominee brett    66\n",
            "9                  mr trump said    49\n",
            "10            field level medium    40\n",
            "11            senator jeff flake    34\n",
            "12              first time since    33\n",
            "13              le golf national    33\n",
            "14                wild card game    33\n",
            "15       respond request comment    32\n",
            "16  security exchange commission    32\n",
            "17     sexual assault allegation    30\n",
            "18           united state mexico    28\n",
            "19                  aung san suu    27\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(0, 0, 'president donald trump'),\n",
              " Text(0, 0, 'christine blasey ford'),\n",
              " Text(0, 0, 'new york time'),\n",
              " Text(0, 0, 'supreme court nominee'),\n",
              " Text(0, 0, 'senate judiciary committee'),\n",
              " Text(0, 0, 'judge brett kavanaugh'),\n",
              " Text(0, 0, 'new york city'),\n",
              " Text(0, 0, 'nominee brett kavanaugh'),\n",
              " Text(0, 0, 'court nominee brett'),\n",
              " Text(0, 0, 'mr trump said'),\n",
              " Text(0, 0, 'field level medium'),\n",
              " Text(0, 0, 'senator jeff flake'),\n",
              " Text(0, 0, 'first time since'),\n",
              " Text(0, 0, 'le golf national'),\n",
              " Text(0, 0, 'wild card game'),\n",
              " Text(0, 0, 'respond request comment'),\n",
              " Text(0, 0, 'security exchange commission'),\n",
              " Text(0, 0, 'sexual assault allegation'),\n",
              " Text(0, 0, 'united state mexico'),\n",
              " Text(0, 0, 'aung san suu')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 157
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vv66IiAilp6dr6NChKi0tVWxsrMaMGaPIyEh/RwYAAABQRX7f42Gz2fTYY48p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4+YmBjo6uqisLAQ58+fh6Oj44BcZFJSUphoJ0JCQti/fz82b94MXV1dPH36FAkJCXBycvrL5HNc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\nAADA6wgeAAAAALzuP9GPcUMZlRZJAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 936x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}