Word2Vec, KMeans clustering.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Import libraries and packages\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "from datetime import datetime\n",
    "\n",
    "# Plotting\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "# Plot styling\n",
    "sns.set(style='white', context='notebook', palette='deep')\n",
    "\n",
    "import nltk\n",
    "from nltk.cluster import KMeansClusterer\n",
    "from nltk.cluster import euclidean_distance\n",
    "\n",
    "from sklearn import cluster\n",
    "from sklearn import metrics\n",
    "from sklearn import cluster\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn import decomposition\n",
    "from sklearn.metrics import adjusted_rand_score\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "from gensim.models import Word2Vec\n",
    "from gensim.models import word2vec\n",
    "\n",
    "from collections import defaultdict\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "eng_stopwords = nltk.corpus.stopwords.words('english')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word2Vec and KMeans Clustering\n",
    "\n",
    "This notebook performs the following tasks:\n",
    "    1. Creates W2V vectors of given features\n",
    "    2. Computes TF-IDF for given features\n",
    "    3. Performs preprocessing \n",
    "    4. Carries out Clustering Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Bag of Words(BOW) and Word2Vec (W2V) related functions__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## modified the code from open source website http://nadbordrozd.github.io/blog/2016/05/20/text-classification-with-word2vec/ \n",
    "class MeanEmbeddingVectorizer(object):\n",
    "    def __init__(self, word2vec):\n",
    "        self.word2vec = word2vec\n",
    "        # if a text is empty we should return a vector of zeros\n",
    "        # with the same dimensionality as all the other vectors\n",
    "        self.dim = len(next(iter(word2vec.values())))\n",
    "\n",
    "    def fit(self, X, y):\n",
    "        return self\n",
    "\n",
    "    def transform(self, X):\n",
    "        return np.array([\n",
    "            np.mean([self.word2vec[w] for w in words if w in self.word2vec]\n",
    "                    or [np.zeros(self.dim)], axis=0)\n",
    "            for words in X\n",
    "        ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class TfidfEmbeddingVectorizer(object):\n",
    "    def __init__(self, word2vec):\n",
    "        self.word2vec = word2vec\n",
    "        self.word2weight = None\n",
    "        self.dim = len(next(iter(word2vec.values())))\n",
    "\n",
    "    def fit(self, X):\n",
    "        tfidf = TfidfVectorizer(analyzer=lambda x: x)\n",
    "        tfidf.fit(X)\n",
    "        # if a word was never seen - it must be at least as infrequent\n",
    "        # as any of the known words - so the default idf is the max of \n",
    "        # known idf's\n",
    "        max_idf = max(tfidf.idf_)\n",
    "        self.word2weight = defaultdict(\n",
    "            lambda: max_idf,\n",
    "            [(w, tfidf.idf_[i]) for w, i in tfidf.vocabulary_.items()])\n",
    "\n",
    "        return self\n",
    "\n",
    "    def transform(self, X):\n",
    "        return np.array([\n",
    "                np.mean([self.word2vec[w] * self.word2weight[w]\n",
    "                         for w in words if w in self.word2vec] or\n",
    "                        [np.zeros(self.dim)], axis=0)\n",
    "                for words in X\n",
    "            ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author</th>\n",
       "      <th>contents</th>\n",
       "      <th>description</th>\n",
       "      <th>publisher</th>\n",
       "      <th>source_url</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Stripe.com</td>\n",
       "      <td>a complete payments platform engineered growth...</td>\n",
       "      <td>At Stripe, we’ve long been excited about the p...</td>\n",
       "      <td>Stripe.com</td>\n",
       "      <td>https://stripe.com/blog/ending-bitcoin-support</td>\n",
       "      <td>Ending Bitcoin Support</td>\n",
       "      <td>2018-01-23</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Editorial Team</td>\n",
       "      <td>as scrambles serve massively expanding userbas...</td>\n",
       "      <td>As it scrambles to serve a massively expanding...</td>\n",
       "      <td>Finextra.com</td>\n",
       "      <td>https://www.finextra.com/newsarticle/31558/coi...</td>\n",
       "      <td>Coinbase hires former Twitter exec to lead cus...</td>\n",
       "      <td>2018-01-23</td>\n",
       "      <td>00:01:00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Scott Scanlon</td>\n",
       "      <td>so many cryptocurrencies so much money made lo...</td>\n",
       "      <td>So many cryptocurrencies. So much money to be ...</td>\n",
       "      <td>Youbrandinc.com</td>\n",
       "      <td>https://www.youbrandinc.com/crytocurrency/shou...</td>\n",
       "      <td>Should you buy bitcoin? Or Ethereum? Or Dash? ...</td>\n",
       "      <td>2018-01-23</td>\n",
       "      <td>00:03:12</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://www.dailymail.co.uk/home/search.html?s=...</td>\n",
       "      <td>by press association published edt january upd...</td>\n",
       "      <td>The Tokyo-based firm has been awarded a paymen...</td>\n",
       "      <td>Daily Mail</td>\n",
       "      <td>http://www.dailymail.co.uk/wires/pa/article-53...</td>\n",
       "      <td>World´s biggest Bitcoin exchange wins backing ...</td>\n",
       "      <td>2018-01-23</td>\n",
       "      <td>00:05:47</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Phil Glazer</td>\n",
       "      <td>initial coin offerings icos regulatory wild we...</td>\n",
       "      <td>Initial coin offerings (ICOs) are a regulatory...</td>\n",
       "      <td>Hackernoon.com</td>\n",
       "      <td>https://hackernoon.com/is-regulation-needed-fo...</td>\n",
       "      <td>Is Regulation Needed for Institutional Investo...</td>\n",
       "      <td>2018-01-23</td>\n",
       "      <td>00:06:02</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              author  \\\n",
       "0                                         Stripe.com   \n",
       "1                                     Editorial Team   \n",
       "2                                      Scott Scanlon   \n",
       "3  http://www.dailymail.co.uk/home/search.html?s=...   \n",
       "4                                        Phil Glazer   \n",
       "\n",
       "                                            contents  \\\n",
       "0  a complete payments platform engineered growth...   \n",
       "1  as scrambles serve massively expanding userbas...   \n",
       "2  so many cryptocurrencies so much money made lo...   \n",
       "3  by press association published edt january upd...   \n",
       "4  initial coin offerings icos regulatory wild we...   \n",
       "\n",
       "                                         description        publisher  \\\n",
       "0  At Stripe, we’ve long been excited about the p...       Stripe.com   \n",
       "1  As it scrambles to serve a massively expanding...     Finextra.com   \n",
       "2  So many cryptocurrencies. So much money to be ...  Youbrandinc.com   \n",
       "3  The Tokyo-based firm has been awarded a paymen...       Daily Mail   \n",
       "4  Initial coin offerings (ICOs) are a regulatory...   Hackernoon.com   \n",
       "\n",
       "                                          source_url  \\\n",
       "0     https://stripe.com/blog/ending-bitcoin-support   \n",
       "1  https://www.finextra.com/newsarticle/31558/coi...   \n",
       "2  https://www.youbrandinc.com/crytocurrency/shou...   \n",
       "3  http://www.dailymail.co.uk/wires/pa/article-53...   \n",
       "4  https://hackernoon.com/is-regulation-needed-fo...   \n",
       "\n",
       "                                               title        date      time  \\\n",
       "0                             Ending Bitcoin Support  2018-01-23  00:00:00   \n",
       "1  Coinbase hires former Twitter exec to lead cus...  2018-01-23  00:01:00   \n",
       "2  Should you buy bitcoin? Or Ethereum? Or Dash? ...  2018-01-23  00:03:12   \n",
       "3  World´s biggest Bitcoin exchange wins backing ...  2018-01-23  00:05:47   \n",
       "4  Is Regulation Needed for Institutional Investo...  2018-01-23  00:06:02   \n",
       "\n",
       "   label  \n",
       "0    0.0  \n",
       "1    0.0  \n",
       "2    0.0  \n",
       "3    0.0  \n",
       "4    0.0  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#read the data (cleaned and merged)\n",
    "df = pd.read_csv('cleaned_and_merged.csv').drop('Unnamed: 0', axis = 1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Methodology:\n",
    "\n",
    "1. Make a dictionary for each event with word2vec\n",
    "2. Perform feature engineering\n",
    "3. Cluster Analysis of features\n",
    "4. Rank clusters and mark larges cluster (i.e. the cluster with most articles)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Preprocessing__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "temp = df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "# split str of content into a list of words and insert as new column\n",
    "temp['c'] = temp['contents'].str.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "# generate list of bad indeces to drop\n",
    "bad_indices = []\n",
    "for i in range(len(temp['c'])):\n",
    "    if not isinstance(temp['c'][i], list):\n",
    "        bad_indices.append(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "trial_df = df.loc[(df.label==0)]\n",
    "trial_df['label'] = trial_df.label.apply(lambda a: int(a))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# drop flagged indices\n",
    "df.drop(bad_indices, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
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       "      <th>c</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Stripe.com</td>\n",
       "      <td>a complete payments platform engineered growth...</td>\n",
       "      <td>At Stripe, we’ve long been excited about the p...</td>\n",
       "      <td>Stripe.com</td>\n",
       "      <td>https://stripe.com/blog/ending-bitcoin-support</td>\n",
       "      <td>Ending Bitcoin Support</td>\n",
       "      <td>2018-01-23</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[a, complete, payments, platform, engineered, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32286</th>\n",
       "      <td>Courtney Goldsmith</td>\n",
       "      <td>tech investor tmt investments planning ramp in...</td>\n",
       "      <td>Tech investor TMT Investments is planning to r...</td>\n",
       "      <td>Cityam.com</td>\n",
       "      <td>http://www.cityam.com/282328/tech-investor-tmt...</td>\n",
       "      <td>Tech investor TMT is ready to ride the blockch...</td>\n",
       "      <td>2018-03-15</td>\n",
       "      <td>12:40:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[tech, investor, tmt, investments, planning, r...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32287</th>\n",
       "      <td>Ricardo Esteves</td>\n",
       "      <td>bitcoin news price information analysis john m...</td>\n",
       "      <td>John McAfee, founder of the software company M...</td>\n",
       "      <td>Newsbtc.com</td>\n",
       "      <td>https://www.newsbtc.com/2018/03/15/john-mcafee...</td>\n",
       "      <td>John McAfee Joins ‘Hackproof’ Startup CryptoSe...</td>\n",
       "      <td>2018-03-15</td>\n",
       "      <td>12:45:48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[bitcoin, news, price, information, analysis, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32288</th>\n",
       "      <td>Steve McCaskill</td>\n",
       "      <td>by steve mccaskill t z networking colt pccw gl...</td>\n",
       "      <td>Colt and PCCW Blockchain trial claims to have ...</td>\n",
       "      <td>TechRadar</td>\n",
       "      <td>https://www.techradar.com/news/blockchain-can-...</td>\n",
       "      <td>Blockchain can 'speed up' payment settelements...</td>\n",
       "      <td>2018-03-15</td>\n",
       "      <td>13:00:42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[by, steve, mccaskill, t, z, networking, colt,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32289</th>\n",
       "      <td>Lindsay Rowntree</td>\n",
       "      <td>lindsay rowntree th mar news comments blockcha...</td>\n",
       "      <td>Blockchain is a revolutionary technology that ...</td>\n",
       "      <td>Exchangewire.com</td>\n",
       "      <td>https://www.exchangewire.com/blog/2018/03/15/b...</td>\n",
       "      <td>Blockchain Can Clean Up Programmatic, But We H...</td>\n",
       "      <td>2018-03-15</td>\n",
       "      <td>13:00:44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[lindsay, rowntree, th, mar, news, comments, b...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   author                                           contents  \\\n",
       "0              Stripe.com  a complete payments platform engineered growth...   \n",
       "32286  Courtney Goldsmith  tech investor tmt investments planning ramp in...   \n",
       "32287     Ricardo Esteves  bitcoin news price information analysis john m...   \n",
       "32288     Steve McCaskill  by steve mccaskill t z networking colt pccw gl...   \n",
       "32289    Lindsay Rowntree  lindsay rowntree th mar news comments blockcha...   \n",
       "\n",
       "                                             description         publisher  \\\n",
       "0      At Stripe, we’ve long been excited about the p...        Stripe.com   \n",
       "32286  Tech investor TMT Investments is planning to r...        Cityam.com   \n",
       "32287  John McAfee, founder of the software company M...       Newsbtc.com   \n",
       "32288  Colt and PCCW Blockchain trial claims to have ...         TechRadar   \n",
       "32289  Blockchain is a revolutionary technology that ...  Exchangewire.com   \n",
       "\n",
       "                                              source_url  \\\n",
       "0         https://stripe.com/blog/ending-bitcoin-support   \n",
       "32286  http://www.cityam.com/282328/tech-investor-tmt...   \n",
       "32287  https://www.newsbtc.com/2018/03/15/john-mcafee...   \n",
       "32288  https://www.techradar.com/news/blockchain-can-...   \n",
       "32289  https://www.exchangewire.com/blog/2018/03/15/b...   \n",
       "\n",
       "                                                   title        date  \\\n",
       "0                                 Ending Bitcoin Support  2018-01-23   \n",
       "32286  Tech investor TMT is ready to ride the blockch...  2018-03-15   \n",
       "32287  John McAfee Joins ‘Hackproof’ Startup CryptoSe...  2018-03-15   \n",
       "32288  Blockchain can 'speed up' payment settelements...  2018-03-15   \n",
       "32289  Blockchain Can Clean Up Programmatic, But We H...  2018-03-15   \n",
       "\n",
       "           time  label                                                  c  \n",
       "0      00:00:00    0.0  [a, complete, payments, platform, engineered, ...  \n",
       "32286  12:40:00    0.0  [tech, investor, tmt, investments, planning, r...  \n",
       "32287  12:45:48    0.0  [bitcoin, news, price, information, analysis, ...  \n",
       "32288  13:00:42    0.0  [by, steve, mccaskill, t, z, networking, colt,...  \n",
       "32289  13:00:44    0.0  [lindsay, rowntree, th, mar, news, comments, b...  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort df by label\n",
    "df = df.sort_values('label', ascending = True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def cluster(df):\n",
    "     \"\"\"\n",
    "    Accepts: a pandas dataframe\n",
    "    Performs: computation of w2v, tf-idf, kmeans clustering and classification\n",
    "    Returns: list of 0's and 1's\n",
    "    \"\"\"\n",
    "    cluster_labels = []\n",
    "    for i in range(1, int(max(df.label))+1):\n",
    "        batch = df.loc[df.label==i]\n",
    "        model = word2vec.Word2Vec(batch.c, min_count=15)\n",
    "        w2v = dict(zip(model.wv.index2word, model.wv.syn0))\n",
    "        t = TfidfEmbeddingVectorizer(w2v)\n",
    "        t.fit(batch.c)\n",
    "        X = t.transform(batch.c)\n",
    "        kmeans = KMeans(n_clusters=2)\n",
    "        kmeans.fit(X)\n",
    "        if len(kmeans.labels_==0)/len(kmeans.labels_)>0.5:\n",
    "            labels= 1*(np.array(kmeans.labels_)==0)\n",
    "        else:\n",
    "            labels= 1*(np.array(kmeans.labels_)==1)\n",
    "        cluster_labels.extend(labels)\n",
    "    return cluster_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_labels = cluster(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "[1,\n",
       " 0,\n",
       " 1,\n",
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     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "zero_labels = [0]*len(df[df['label']==0])\n",
    "zero_labels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Analyze Results__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45217"
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     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(zero_labels)+len(final_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "zero_labels.extend(final_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45217"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(zero_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author</th>\n",
       "      <th>contents</th>\n",
       "      <th>description</th>\n",
       "      <th>publisher</th>\n",
       "      <th>source_url</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>label</th>\n",
       "      <th>c</th>\n",
       "      <th>marks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>40170</th>\n",
       "      <td>Kimberly Chin</td>\n",
       "      <td>amd heyday chip choice ethereum miners come en...</td>\n",
       "      <td>AMD has received up to 20% of its total revenu...</td>\n",
       "      <td>Business Insider</td>\n",
       "      <td>http://www.businessinsider.com/amd-stock-price...</td>\n",
       "      <td>AMD will get crushed in the race to be the ult...</td>\n",
       "      <td>2018-03-26</td>\n",
       "      <td>20:20:00</td>\n",
       "      <td>32.0</td>\n",
       "      <td>[amd, heyday, chip, choice, ethereum, miners, ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40173</th>\n",
       "      <td>Kimberly Chin</td>\n",
       "      <td>amd heyday chip choice ethereum miners come en...</td>\n",
       "      <td>AMD has received up to 20% of its total revenu...</td>\n",
       "      <td>Business Insider</td>\n",
       "      <td>http://www.businessinsider.com/amd-stock-price...</td>\n",
       "      <td>AMD will get crushed in the race to be the ult...</td>\n",
       "      <td>2018-03-26</td>\n",
       "      <td>20:20:00</td>\n",
       "      <td>32.0</td>\n",
       "      <td>[amd, heyday, chip, choice, ethereum, miners, ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40176</th>\n",
       "      <td>Camila Russo</td>\n",
       "      <td>connecting decision makers dynamic network inf...</td>\n",
       "      <td>Coinbase Inc., which owns one of the largest U...</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>https://www.bloomberg.com/news/articles/2018-0...</td>\n",
       "      <td>Crypto Exchange Coinbase Adds Support for Ethe...</td>\n",
       "      <td>2018-03-26</td>\n",
       "      <td>20:21:15</td>\n",
       "      <td>32.0</td>\n",
       "      <td>[connecting, decision, makers, dynamic, networ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40116</th>\n",
       "      <td>Bloomberg News</td>\n",
       "      <td>this section produced editorial department the...</td>\n",
       "      <td>Crypto company Arbitrade is 'weeks away' from ...</td>\n",
       "      <td>Financial Post</td>\n",
       "      <td>http://business.financialpost.com/technology/b...</td>\n",
       "      <td>Gold casts of Nelson Mandela’s hands sell to O...</td>\n",
       "      <td>2018-03-26</td>\n",
       "      <td>19:45:57</td>\n",
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       "      <th>39825</th>\n",
       "      <td>RT</td>\n",
       "      <td>andy bauch created new money series brick bric...</td>\n",
       "      <td>A day rarely goes by without Bitcoin in the ne...</td>\n",
       "      <td>RT</td>\n",
       "      <td>https://www.rt.com/usa/422372-la-artist-hides-...</td>\n",
       "      <td>Bitcoin LEGO mystery: LA artist hides ‘$10,000...</td>\n",
       "      <td>2018-03-26</td>\n",
       "      <td>15:56:00</td>\n",
       "      <td>32.0</td>\n",
       "      <td>[andy, bauch, created, new, money, series, bri...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               author                                           contents  \\\n",
       "40170   Kimberly Chin  amd heyday chip choice ethereum miners come en...   \n",
       "40173   Kimberly Chin  amd heyday chip choice ethereum miners come en...   \n",
       "40176    Camila Russo  connecting decision makers dynamic network inf...   \n",
       "40116  Bloomberg News  this section produced editorial department the...   \n",
       "39825              RT  andy bauch created new money series brick bric...   \n",
       "\n",
       "                                             description         publisher  \\\n",
       "40170  AMD has received up to 20% of its total revenu...  Business Insider   \n",
       "40173  AMD has received up to 20% of its total revenu...  Business Insider   \n",
       "40176  Coinbase Inc., which owns one of the largest U...         Bloomberg   \n",
       "40116  Crypto company Arbitrade is 'weeks away' from ...    Financial Post   \n",
       "39825  A day rarely goes by without Bitcoin in the ne...                RT   \n",
       "\n",
       "                                              source_url  \\\n",
       "40170  http://www.businessinsider.com/amd-stock-price...   \n",
       "40173  http://www.businessinsider.com/amd-stock-price...   \n",
       "40176  https://www.bloomberg.com/news/articles/2018-0...   \n",
       "40116  http://business.financialpost.com/technology/b...   \n",
       "39825  https://www.rt.com/usa/422372-la-artist-hides-...   \n",
       "\n",
       "                                                   title        date  \\\n",
       "40170  AMD will get crushed in the race to be the ult...  2018-03-26   \n",
       "40173  AMD will get crushed in the race to be the ult...  2018-03-26   \n",
       "40176  Crypto Exchange Coinbase Adds Support for Ethe...  2018-03-26   \n",
       "40116  Gold casts of Nelson Mandela’s hands sell to O...  2018-03-26   \n",
       "39825  Bitcoin LEGO mystery: LA artist hides ‘$10,000...  2018-03-26   \n",
       "\n",
       "           time  label                                                  c  \\\n",
       "40170  20:20:00   32.0  [amd, heyday, chip, choice, ethereum, miners, ...   \n",
       "40173  20:20:00   32.0  [amd, heyday, chip, choice, ethereum, miners, ...   \n",
       "40176  20:21:15   32.0  [connecting, decision, makers, dynamic, networ...   \n",
       "40116  19:45:57   32.0  [this, section, produced, editorial, departmen...   \n",
       "39825  15:56:00   32.0  [andy, bauch, created, new, money, series, bri...   \n",
       "\n",
       "       marks  \n",
       "40170      1  \n",
       "40173      1  \n",
       "40176      1  \n",
       "40116      1  \n",
       "39825      1  "
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['marks']= zero_labels\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.to_csv('ready for classification')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  }
 ],
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