Twitter_Hashtag_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What topics are people tweeting about?\n",
    "\n",
    "## Using Apache Spark for Twitter analysis\n",
    "\n",
    "This notebook showcases analysis of data from the Twitter API in Apache Spark. The idea here is to extract hashtags used in tweets from the last week to examine which topics are most popular. It's a personalized analysis since the tweets fetched via the API are the last 40 tweets from each of the users I follow on Twitter.\n",
    "\n",
    "### Steps performed\n",
    "\n",
    "1. Authenticate to Twitter API using Tweepy\n",
    "2. Get last 40 tweets of each of the users I follow (save to MongoDB for persistence)\n",
    "3. Filter tweets with Apache Spark:\n",
    "   * Omit tweets without hashtags\n",
    "   * Omit tweets that are too old\n",
    "4. Analyze tweets with Apache Spark:\n",
    "   * Extract hashtags\n",
    "   * Do a word count\n",
    "   * Compute sample statistics\n",
    "   * Output tags for use in 3rd party word cloud software"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Dependencies\n",
    "import os\n",
    "import ssl\n",
    "import time\n",
    "import tweepy\n",
    "import requests\n",
    "import datetime\n",
    "\n",
    "from pprint import pprint\n",
    "from dateutil import parser\n",
    "from pymongo import MongoClient\n",
    "\n",
    "# Fix for urllib SSL InsecurePlatformWarning\n",
    "import urllib3.contrib.pyopenssl\n",
    "urllib3.contrib.pyopenssl.inject_into_urllib3()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Connect to local MongoDB instance\n",
    "client = MongoClient()\n",
    "db = client['twitter']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Twitter credentials (FILL IN)\n",
    "TW_CONSUMER_KEY='...'\n",
    "TW_CONSUMER_SECRET='...'\n",
    "TW_ACCESS_TOKEN='...'\n",
    "TW_ACCESS_TOKEN_SECRET='...'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Authenticate to Twitter API\n",
    "auth = tweepy.OAuthHandler(TW_CONSUMER_KEY, TW_CONSUMER_SECRET)\n",
    "auth.set_access_token(TW_ACCESS_TOKEN, TW_ACCESS_TOKEN_SECRET)\n",
    "\n",
    "api = tweepy.API(auth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Get details about own user\n",
    "me = api.me()\n",
    "friends = api.friends_ids(me.id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[17681614,\n",
       " 3257840322L,\n",
       " 2887341,\n",
       " 348783600,\n",
       " 39229885,\n",
       " 246582746,\n",
       " 9316452,\n",
       " 372502604,\n",
       " 2401864586L,\n",
       " 235511635]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Inspect the list of user IDs\n",
    "friends[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Initialize data structure\n",
    "tweets = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Get recent tweets for user 3257840322...\n",
      "  Got 20 tweets so far...\n",
      "  Got 40 tweets so far...\n",
      "Get recent tweets for user 2887341...\n",
      "  Got 20 tweets so far...\n",
      "  Got 40 tweets so far...\n",
      "Get recent tweets for user 348783600...\n",
      "  Got 20 tweets so far...\n",
      "  Got 40 tweets so far...\n",
      "Get recent tweets for user 39229885...\n",
      "  Got 20 tweets so far...\n",
      "  Got 40 tweets so far...\n",
      "..."
     ]
    }
   ],
   "source": [
    "# Fetch lists of up to 40 recent tweets for each of the user IDs\n",
    "for user in friends:\n",
    "    # Only query Twitter for data not already cached\n",
    "    if db.tweets.find({'user_id': user}).count() == 0:\n",
    "        print('Get recent tweets for user {}...'.format(user))\n",
    "        tweets[user] = []\n",
    "        for page in tweepy.Cursor(api.user_timeline, id=user).pages(2):\n",
    "            tweets[user].extend(page)\n",
    "            print('  Got {} tweets so far...'.format(len(tweets[user])))\n",
    "            # API is rate limited (5 sec sleep = 180 reqs in 15 min)\n",
    "            time.sleep(5)\n",
    "        # Save each tweet to database\n",
    "        for tweet in tweets[user]:\n",
    "            db.tweets.insert_one({'user_id': user, 'tweet': tweet._json})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14 remaining of 15 for /account/verify_credentials\n",
      "179 remaining of 180 for /users/show/:id\n",
      "14 remaining of 15 for /friends/ids\n",
      "178 remaining of 180 for /application/rate_limit_status\n"
     ]
    }
   ],
   "source": [
    "# Check Twitter API rate limit status\n",
    "def walk(node):\n",
    "    for key, item in node.items():\n",
    "        if type(item) == dict:\n",
    "            if 'remaining' not in item.keys():\n",
    "                walk(item)\n",
    "            else:\n",
    "                if item['remaining'] < item['limit']:\n",
    "                    print('{} remaining of {} for {}'.format(item['remaining'], item['limit'], key))\n",
    "\n",
    "ratelimits = api.rate_limit_status()\n",
    "walk(ratelimits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{u'contributors': None,\n",
      " u'coordinates': None,\n",
      " u'created_at': u'Sun Jul 12 19:29:09 +0000 2015',\n",
      " u'entities': {u'hashtags': [{u'indices': [75, 83], u'text': u'TurnAMC'},\n",
      "                             {u'indices': [139, 140], u'text': u'RenewTURN'}],\n",
      "               u'symbols': [],\n",
      "               u'urls': [],\n",
      "               u'user_mentions': [{u'id': 2262113536L,\n",
      "                                   u'id_str': u'2262113536',\n",
      "                                   u'indices': [3, 17],\n",
      "                                   u'name': u'J.E. Matzer',\n",
      "                                   u'screen_name': u'JeMatzerACTOR'},\n",
      "                                  {u'id': 148807607,\n",
      "                                   u'id_str': u'148807607',\n",
      "                                   u'indices': [19, 26],\n",
      "                                   u'name': u'AMC ',\n",
      "                                   u'screen_name': u'AMC_TV'},\n",
      "                                  {u'id': 1855584931,\n",
      "                                   u'id_str': u'1855584931',\n",
      "                                   u'indices': [64, 72],\n",
      "                                   u'name': u'Turn AMC ',\n",
      "                                   u'screen_name': u'TurnAMC'},\n",
      "                                  {u'id': 2801136508L,\n",
      "                                   u'id_str': u'2801136508',\n",
      "                                   u'indices': [134, 140],\n",
      "                                   u'name': u'#RenewTurn',\n",
      "                                   u'screen_name': u'TurnOnAMC'}]},\n",
      " u'favorite_count': 0,\n",
      " u'favorited': False,\n",
      " u'geo': None,\n",
      " u'id': 620313967081054208L,\n",
      " u'id_str': u'620313967081054208',\n",
      " u'in_reply_to_screen_name': None,\n",
      " u'in_reply_to_status_id': None,\n",
      " u'in_reply_to_status_id_str': None,\n",
      " u'in_reply_to_user_id': None,\n",
      " u'in_reply_to_user_id_str': None,\n",
      " u'is_quote_status': False,\n",
      " u'lang': u'en',\n",
      " u'place': None,\n",
      " u'retweet_count': 22,\n",
      " u'retweeted': False,\n",
      " u'retweeted_status': {u'contributors': None,\n",
      "                       u'coordinates': None,\n",
      "                       u'created_at': u'Thu Jul 09 11:39:32 +0000 2015',\n",
      "                       u'entities': {u'hashtags': [{u'indices': [56, 64],\n",
      "                                                    u'text': u'TurnAMC'},\n",
      "                                                   {u'indices': [126, 136],\n",
      "                                                    u'text': u'RenewTURN'}],\n",
      "                                     u'symbols': [],\n",
      "                                     u'urls': [],\n",
      "                                     u'user_mentions': [{u'id': 148807607,\n",
      "                                                         u'id_str': u'148807607',\n",
      "                                                         u'indices': [0,\n",
      "                                                                      7],\n",
      "                                                         u'name': u'AMC ',\n",
      "                                                         u'screen_name': u'AMC_TV'},\n",
      "                                                        {u'id': 1855584931,\n",
      "                                                         u'id_str': u'1855584931',\n",
      "                                                         u'indices': [45,\n",
      "                                                                      53],\n",
      "                                                         u'name': u'Turn AMC ',\n",
      "                                                         u'screen_name': u'TurnAMC'},\n",
      "                                                        {u'id': 2801136508L,\n",
      "                                                         u'id_str': u'2801136508',\n",
      "                                                         u'indices': [115,\n",
      "                                                                      125],\n",
      "                                                         u'name': u'#RenewTurn',\n",
      "                                                         u'screen_name': u'TurnOnAMC'}]},\n",
      "                       u'favorite_count': 28,\n",
      "                       u'favorited': False,\n",
      "                       u'geo': None,\n",
      "                       u'id': 619108621360734208L,\n",
      "                       u'id_str': u'619108621360734208',\n",
      "                       u'in_reply_to_screen_name': u'AMC_TV',\n",
      "                       u'in_reply_to_status_id': None,\n",
      "                       u'in_reply_to_status_id_str': None,\n",
      "                       u'in_reply_to_user_id': 148807607,\n",
      "                       u'in_reply_to_user_id_str': u'148807607',\n",
      "                       u'is_quote_status': False,\n",
      "                       u'lang': u'en',\n",
      "                       u'place': None,\n",
      "                       u'retweet_count': 22,\n",
      "                       u'retweeted': False,\n",
      "                       u'source': u'<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>',\n",
      "                       u'text': u\"@AMC_TV Are you reading the tweets regarding @TurnAMC ? #TurnAMC fans want a Season 3 C'mon! RENEW TURN RENEW TURN @TurnOnAMC #RenewTURN\",\n",
      "                       u'truncated': False,\n",
      "                       u'user': {u'contributors_enabled': False,\n",
      "                                 u'created_at': u'Sat Jan 04 15:47:47 +0000 2014',\n",
      "                                 u'default_profile': False,\n",
      "                                 u'default_profile_image': False,\n",
      "                                 u'description': u'FILM. TV. \\n\\nThe camera sees everything.',\n",
      "                                 u'entities': {u'description': {u'urls': []},\n",
      "                                               u'url': {u'urls': [{u'display_url': u'jematzeractor.com',\n",
      "                                                                   u'expanded_url': u'http://www.jematzeractor.com/',\n",
      "                                                                   u'indices': [0,\n",
      "                                                                                22],\n",
      "                                                                   u'url': u'http://t.co/U68PsmDndj'}]}},\n",
      "                                 u'favourites_count': 3766,\n",
      "                                 u'follow_request_sent': False,\n",
      "                                 u'followers_count': 257,\n",
      "                                 u'following': False,\n",
      "                                 u'friends_count': 345,\n",
      "                                 u'geo_enabled': True,\n",
      "                                 u'has_extended_profile': False,\n",
      "                                 u'id': 2262113536L,\n",
      "                                 u'id_str': u'2262113536',\n",
      "                                 u'is_translation_enabled': False,\n",
      "                                 u'is_translator': False,\n",
      "                                 u'lang': u'en',\n",
      "                                 u'listed_count': 6,\n",
      "                                 u'location': u'Richmond, Virginia',\n",
      "                                 u'name': u'J.E. Matzer',\n",
      "                                 u'notifications': False,\n",
      "                                 u'profile_background_color': u'000000',\n",
      "                                 u'profile_background_image_url': u'http://abs.twimg.com/images/themes/theme1/bg.png',\n",
      "                                 u'profile_background_image_url_https': u'https://abs.twimg.com/images/themes/theme1/bg.png',\n",
      "                                 u'profile_background_tile': False,\n",
      "                                 u'profile_banner_url': u'https://pbs.twimg.com/profile_banners/2262113536/1430162593',\n",
      "                                 u'profile_image_url': u'http://pbs.twimg.com/profile_images/593841202807582720/-zxMhe3I_normal.jpg',\n",
      "                                 u'profile_image_url_https': u'https://pbs.twimg.com/profile_images/593841202807582720/-zxMhe3I_normal.jpg',\n",
      "                                 u'profile_link_color': u'FA743E',\n",
      "                                 u'profile_sidebar_border_color': u'000000',\n",
      "                                 u'profile_sidebar_fill_color': u'000000',\n",
      "                                 u'profile_text_color': u'000000',\n",
      "                                 u'profile_use_background_image': False,\n",
      "                                 u'protected': False,\n",
      "                                 u'screen_name': u'JeMatzerACTOR',\n",
      "                                 u'statuses_count': 3621,\n",
      "                                 u'time_zone': u'Eastern Time (US & Canada)',\n",
      "                                 u'url': u'http://t.co/U68PsmDndj',\n",
      "                                 u'utc_offset': -14400,\n",
      "                                 u'verified': False}},\n",
      " u'source': u'<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>',\n",
      " u'text': u\"RT @JeMatzerACTOR: @AMC_TV Are you reading the tweets regarding @TurnAMC ? #TurnAMC fans want a Season 3 C'mon! RENEW TURN RENEW TURN @Turn\\u2026\",\n",
      " u'truncated': False,\n",
      " u'user': {u'contributors_enabled': False,\n",
      "           u'created_at': u'Tue Jul 26 17:33:18 +0000 2011',\n",
      "           u'default_profile': False,\n",
      "           u'default_profile_image': False,\n",
      "           u'description': u\"Welsh bloke on your Telly trying to change the world in 140 characters or less. The Mentalist, American Sniper, Extant, AMC's Turn, Supergirl, Belko Experiment\",\n",
      "           u'entities': {u'description': {u'urls': []},\n",
      "                         u'url': {u'urls': [{u'display_url': u'm.imdb.com/name/nm1466859/',\n",
      "                                             u'expanded_url': u'http://m.imdb.com/name/nm1466859/',\n",
      "                                             u'indices': [0, 22],\n",
      "                                             u'url': u'http://t.co/2DgueeEMOT'}]}},\n",
      "           u'favourites_count': 830,\n",
      "           u'follow_request_sent': False,\n",
      "           u'followers_count': 91018,\n",
      "           u'following': True,\n",
      "           u'friends_count': 816,\n",
      "           u'geo_enabled': False,\n",
      "           u'has_extended_profile': False,\n",
      "           u'id': 342845441,\n",
      "           u'id_str': u'342845441',\n",
      "           u'is_translation_enabled': False,\n",
      "           u'is_translator': False,\n",
      "           u'lang': u'en',\n",
      "           u'listed_count': 627,\n",
      "           u'location': u'Los Angeles',\n",
      "           u'name': u'Owain Yeoman',\n",
      "           u'notifications': False,\n",
      "           u'profile_background_color': u'131516',\n",
      "           u'profile_background_image_url': u'http://abs.twimg.com/images/themes/theme14/bg.gif',\n",
      "           u'profile_background_image_url_https': u'https://abs.twimg.com/images/themes/theme14/bg.gif',\n",
      "           u'profile_background_tile': True,\n",
      "           u'profile_banner_url': u'https://pbs.twimg.com/profile_banners/342845441/1434082157',\n",
      "           u'profile_image_url': u'http://pbs.twimg.com/profile_images/610701706880528384/7qYNL5qn_normal.jpg',\n",
      "           u'profile_image_url_https': u'https://pbs.twimg.com/profile_images/610701706880528384/7qYNL5qn_normal.jpg',\n",
      "           u'profile_link_color': u'009999',\n",
      "           u'profile_sidebar_border_color': u'EEEEEE',\n",
      "           u'profile_sidebar_fill_color': u'EFEFEF',\n",
      "           u'profile_text_color': u'333333',\n",
      "           u'profile_use_background_image': True,\n",
      "           u'protected': False,\n",
      "           u'screen_name': u'OYeoman',\n",
      "           u'statuses_count': 5578,\n",
      "           u'time_zone': None,\n",
      "           u'url': u'http://t.co/2DgueeEMOT',\n",
      "           u'utc_offset': None,\n",
      "           u'verified': True}}\n"
     ]
    }
   ],
   "source": [
    "# Show example of tweet object structure\n",
    "example_user = tweets.keys()[0]\n",
    "pprint(tweets[example_user][0]._json)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24271"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check how many tweets we got \n",
    "db.tweets.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Filter to only get tweets from the last 7 days\n",
    "DAYS_LIMIT=7\n",
    "limit = datetime.datetime.now() - datetime.timedelta(days=DAYS_LIMIT)\n",
    "limit_unixtime = time.mktime(limit.timetuple())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Extract tweets from MongoDB and load into Spark for analysis\n",
    "allTweets = []\n",
    "for doc in db.tweets.find():\n",
    "    allTweets.append(doc['tweet'])\n",
    "    \n",
    "allTweetsRDD = sc.parallelize(allTweets, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Filter tweets to get rid of those who either have no hashtags or are too old\n",
    "tweetsWithTagsRDD = allTweetsRDD.filter(lambda t: len(t['entities']['hashtags']) > 0)\n",
    "filteredTweetsRDD = tweetsWithTagsRDD.filter(lambda t: time.mktime(parser.parse(t['created_at']).timetuple()) > limit_unixtime)\n",
    "\n",
    "# Alternative syntax:\n",
    "#filteredTweetsRDD = (allTweetsRDD\n",
    "#                     .filter(lambda t: len(t['entities']['hashtags']) > 0)\n",
    "#                     .filter(lambda t: time.mktime(parser.parse(t['created_at']).timetuple()) > limit_unixtime)\n",
    "#                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our filtered set of tweets contains 2456 tweets from the last 7 days.\n",
      "Of a total 24271 tweets, 17150 had no hashtags. Of those who had, 4665 where too old.\n"
     ]
    }
   ],
   "source": [
    "# Get some stats (precompute the counts since they are referenced several times below)\n",
    "tweetCount = allTweetsRDD.count()\n",
    "withTagsCount = tweetsWithTagsRDD.count()\n",
    "filteredCount = filteredTweetsRDD.count()\n",
    "print('Our filtered set of tweets contains {} tweets from the last {} days.'.format(filteredCount, DAYS_LIMIT))\n",
    "print('Of a total {} tweets, {} had no hashtags. Of those who had, {} where too old.'.format(\n",
    "        tweetCount, tweetCount - withTagsCount, withTagsCount - filteredCount))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'bigdata', 114),\n",
       " (u'openstack', 92),\n",
       " (u'gophercon', 71),\n",
       " (u'machinelearning', 68),\n",
       " (u'sdn', 66),\n",
       " (u'datascience', 58),\n",
       " (u'docker', 56),\n",
       " (u'dtm', 46),\n",
       " (u'audisport', 44),\n",
       " (u'dtmzandvoort', 42),\n",
       " (u'hpc', 40),\n",
       " (u'welcomechallenges', 38),\n",
       " (u'devops', 37),\n",
       " (u'analytics', 36),\n",
       " (u'awssummit', 36),\n",
       " (u'infosec', 33),\n",
       " (u'security', 32),\n",
       " (u'openstacknow', 29),\n",
       " (u'renewturn', 29),\n",
       " (u'mobil1scgp', 28)]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count the number of occurrences for each hashtag, \n",
    "# by first extracting the hashtag and lowercasing it, \n",
    "# then do a standard word count with map and reduceByKey\n",
    "countsRDD = (filteredTweetsRDD\n",
    "             .flatMap(lambda tweet: [hashtag['text'].lower() for hashtag in tweet['entities']['hashtags']])\n",
    "             .map(lambda tag: (tag, 1))\n",
    "             .reduceByKey(lambda a, b: a + b)\n",
    "            )\n",
    "\n",
    "# Get the most used hashtags (order countsRDD descending by count)\n",
    "countsRDD.takeOrdered(20, lambda (key, value): -value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A total of 4030 hashtags gives an average number of tags per tweet at 1.64.\n"
     ]
    }
   ],
   "source": [
    "# Count the number of hashtags used\n",
    "totalHashtags = countsRDD.map(lambda (key, value): value).reduce(lambda a, b: a + b)\n",
    "\n",
    "# Compute average number of hashtags per tweet\n",
    "print('A total of {} hashtags gives an average number of tags per tweet at {}.'.format(\n",
    "    totalHashtags, round(totalHashtags/float(filteredTweetsRDD.count()), 2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Get a list of all hashtags used\n",
    "hashtagList = (filteredTweetsRDD\n",
    "        .flatMap(lambda tweet: [hashtag['text'].lower() for hashtag in tweet['entities']['hashtags']])\n",
    "        .collect()\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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hypothesistesting r analytics travel uk bigdata openinternet bigdata analytics analytics analytics bigdata bigdata big analytics bigdata analytics wimbledon tennis analytics bigdata flyfishing analytics bigdata analytics datascience social socialdata analytics bigdata analytics uk bigdata marketing bigdata california bigdata analytics analytics healthdata analytics data analytics bigdata analytics datascience bigdata analytics wimbledon tennis analytics bigdata flyfishing uk bigdata bigdata analytics analytics bigdata flyfishing analytics bigdata analytics analytics bigdata analytics statistics regression bigdata datascience analytics social socialdata bigdata analytics datavisualization r machinelearning machinelearning iot datamining machinelearning machinelearning machinelearning datascience ml iot python datavisualization python python machinelearning r knn machinelearning neuralnetwork ai ml nlp pandas python ai ml computervision bigdata machinelearning python datavisualization 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audisport wec pluto openstack keeptheban green energy openstack cugrads15 openstack ansible openstack curryon greferendum cosytech bam msbts biztalk apm lifechanger bitcoin deeplearning deeplearning deeplearning machinelearning ux dob dateofbirth sundance knxspotlight ftf2015 hackingteamtransparencyreport netragard hackingteam infosec multiply multiplyibiza bpmdebut bpm multiplyibiza upstart airbus atx austin sunset devopsdays docker devops dtrace longhorns geekshirtfriday aws awsloft openstacktage openstack devops openstack openstack techlebrity openstack podcast dbaas donehere openssl bos tchat kubernetes opencrowbar openstack docker zdnet fud fb summerlove klikk ps4share leviathanwakes sdcc wimbledon grexit grexit grexit gatekunst businessstatesmanship csr protip twitterhjelp hackingteam android security hacking security xbox zeroday hacking security tech security whatsapp security privacy thepiratebay torrent g4hwebcast ios android whatsapp security security whatsapp security 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ftfs summer bike wanderlust norway summer visitoslo reflection visitoslo ipv6 dns tech dns tech outage dns sharkweek dns tech dns tech dns dns tech 28characters sdcc groovy selfabuse analytics rock digitaldisruption ioe digitaltransformation ioe itpro sysadminday tbt sysadmin itpro infotech datachat datachat sqlserver datachat sysadmins sysadminday thwackcamp thwackcamp thwack networking npm orion sam sysadminsquares vsphere hyperv containers microservices fabrics itversatilist sysadminday wimbledon theashes philosophy ashes cleur cleur cleur cleur smartphone cleur cleur hackingteam justask okgoogle wimbledon2015 chromecast chrometip yosemitestreetview gsf2015 androidone uswnt wwc2015 morethanamatch wwc2015 morethanamatch okgoogle sosiolekt funfact macprotip hackingteam thingsididwhenmrtwasdown adblock periscope periscope wceu edtech 10forfredag musikktips musikktips wifimoney dontcareamfabulous thanksall quickhits amazing netappflash uswomensopen breaking netappflash netappit oil 2a 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     ]
    }
   ],
   "source": [
    "# Print the list to use as input in word cloud software\n",
    "print(' '.join(hashtagList))"
   ]
  }
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