testing_nb.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/emoji_table.txt', encoding='utf-8', index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df['count']=0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "emoji_dict = df['count'].to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'\\U0001f600'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df.index[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🇮🇨\n"
     ]
    }
   ],
   "source": [
    "for key in emoji_dict.keys():\n",
    "    print key\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1604"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(emoji_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tweets_data_path = 'data/twitter_dump_small.txt'\n",
    "\n",
    "tweets_data = []\n",
    "\n",
    "# parse tweets into json and store it in list\n",
    "tweets_file = open(tweets_data_path, \"r\")\n",
    "for line in tweets_file:\n",
    "    try:\n",
    "        tweet = json.loads(line)\n",
    "        tweets_data.append(tweet)\n",
    "    except:\n",
    "        continue\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14\n"
     ]
    },
    {
     "ename": "UnicodeEncodeError",
     "evalue": "'ascii' codec can't encode characters in position 10-13: ordinal not in range(128)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mUnicodeEncodeError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-34-65dd71fc75e1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mprint\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mUnicodeEncodeError\u001b[0m: 'ascii' codec can't encode characters in position 10-13: ordinal not in range(128)"
     ]
    }
   ],
   "source": [
    "print len(xx.split()[-1])\n",
    "\n",
    "str(xx.split()[-1])[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "z = xx.replace(u'\\U0001f60a', u' \\U0001f60a ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u\"I've\",\n",
       " u'enjoyed',\n",
       " u'this',\n",
       " u'basketball',\n",
       " u'season',\n",
       " u'though....the',\n",
       " u'journey',\n",
       " u'was',\n",
       " u'sooo',\n",
       " u'fun',\n",
       " u'and',\n",
       " u'exciting',\n",
       " u'while',\n",
       " u'it',\n",
       " u'lasted....',\n",
       " u'\\U0001f60a',\n",
       " u'\\U0001f60a',\n",
       " u'\\U0001f49c\\U0001f49b']"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "xx = tweets_data[13]['text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RT @1047KDUK: May you have as much fun with your weekend as Chris Martin and Blue Ivy are in these superbowl backstage pics https://t.co/fk…\n",
      "RT @SUPERELFS06: Preview/160305 LeeTeuk, Kangin &amp; HeeChul having fun at ICN ^^~  going to Shanghai ©orianejewel https://t.co/EBeIheowXx\n",
      "@Ronnie2K @LD2K your game is so shit I literally took it out mid game &amp; threw it out in the other room. actually had fun a couple days wtf\n",
      "RT @ShanSossamon: I miss all involved with this special movie &lt;3 https://t.co/VX1RLFITa1\n",
      "RT @TheObamaDiary: Fun Fact: In Clinton v Dole 96 presidential election, guess who Cenk Uygur voted for (he was 26)?\n",
      "\n",
      "Yep, Dole\n",
      "\n",
      "His Clinto…\n",
      "Having fun playing #CSRRacing for iOS, why not join me for FREE?\n",
      "https://t.co/PYVqtAKcxA\n",
      "RT @j15hooper: I wish I was a little kid again. No worries. No problems. No drama. No responsibility. Just playing and having fun.\n",
      "Photo - Fridays spent with friends are always fun, especially when Pudge is in town! #TexasRangers https://t.co/ULQx8nm2wP\n",
      "@DayAlabaster @Slate its all part of twitter fun #clintonmustgo\n",
      "https://t.co/ddIOlGP5CI https://t.co/1FPLncO2cY https://t.co/TNmZnZPLnu ...\n",
      "@RollingStone \n",
      "Cjclxucsy accused of a mineral water and friends and family members who are you guys doing anything fun with your gift\n",
      "@SubmissiveLexi your going to have Fun with that, when you get to use it.\n",
      "thank you shaniaaa https://t.co/zmMutSFgR8\n",
      "I've enjoyed this basketball season though....the journey was sooo fun and exciting while it lasted....😊😊💜💛\n",
      "I got my liptifulinternational in today. I'm having so much fun playing with this thing. #plump… https://t.co/iKzNga49ve\n",
      "my idea of a fun Friday night is rearranging the kitchen cabinets with @Fricke1947.  😘\n",
      "RT @JonahMarais: .@wydmarais_ that'd actually be so fun 😁🤘🏻\n",
      "This is definitely gonna be fun\n",
      "Twitter is only fun when @benshapiro and @Nero go at each other's throats.\n",
      "RT @VerucaJames: RT @AmarnaMiller: Having fun with @verucajames #BJ &amp;lt;3 https://t.co/6boXDK1Lkr\n",
      "RT @nicklamuro: @bphogan Yeah, that is a fun one from the world of OSX. They changed things so that native extensions compiling with warns …\n",
      "RT @MarriedAffairUK: Find a #sexual connection for discreet fun at...\n",
      "\n",
      "https://t.co/aPD2rvuFn4\n",
      "\n",
      "#sexualencounters #lprtg\n",
      "Teen has a group fucking fun. Alt hotKtie teenager #nudeCam #deepthroat #nudity https://t.co/APMbJbgomV https://t.co/ZFHzKJt1r4\n",
      "RT @IDareYouBamber: My grandma is having too much fun 😂 https://t.co/YCGP0k1aj0\n",
      "RT @dabmandan: don't date someone if you can't have fun at the grocery store with them\n",
      "RT @vibranthome: Fun Easter project for the children https://t.co/nKuibUdYnB\n",
      "Had some fun today with some blue 😍👌🏼⚫️🔵 https://t.co/Bo8bQSvPJU\n",
      "Spiderman &amp; Frozen Elsa vs Evil Queen! Elsa Gets a Gummy Joker Tongue! Superhero Fun in Real Life :)lll https://t.co/67seCbZQT8\n",
      "RT @SteveDeaceShow: Had a really fun interview with an atheist conservative today at #CPAC2016. I'll definitely share the video when it com…\n",
      "@Machu_ree @awlilnatty peeling is half the fun brother. Really lets you get to know the orange. Every orange has a personality\n",
      "RT @TheDukeNation: Did a fun Q&amp;A with Duke's newest commit, @5jackwhite! Will be releasing it tomorrow morning!\n",
      "\n",
      "P.S. #DukeNation is going …\n",
      "RT @yoonminist: i hope yasmin, sabrina, fia, and my other indo mutuals have fun today!!!!!\n",
      "nope you’re not RT @saimaloveee: am I the only one that doesn’t find hookah fun\n",
      "ppl need to stop using the word \"savage\" as an excuse to be rude and make fun of others. smh https://t.co/5fzPYB8Orp\n",
      "RT @xrzes: Being a vegetarian so fun I just got three bags of broccoli https://t.co/u5XbYNjste\n",
      "RT @Kansas_SOE: The @children Game On! participants, staff, and #KU visitors pose for a fun picture in Guatemala. https://t.co/RpQGWw6CJH\n",
      "RT @lala: Ladies of POWER @naturi4real @misslloren such a fun evening #powertv #comingsoon https://t.co/4nWgBhfD1o\n",
      "@miltonmustangs @MDHighSchool  https://t.co/NyDLroskU3\n",
      "RT @Taefresh_: When i wanna have fun, i freestyle. Nothing serious. Check out one of my latest freestyles😤🔥 https://t.co/0Tb8tSlnZY\n",
      "I know how it feels to want see the idol, and now you also feel it😂😋 Have fun there, iqbaal💋💃 https://t.co/vMv9AkrRiT\n",
      "RT @CoachSBechtel: Fun day at the pit! Proud of #OWUpv for taking 5 out of 8 places at the #NCACITRK16 today #WSAT #ohwooo #OWUTF #inTENsity\n",
      "@judahandthelion better man &amp; take it all back (cos it was so fun to dance to at your concert)\n",
      "RT @natekgarner: bye holidays it was fun!\n",
      "sooo is it summer yet?\n",
      "RT @91sammysam: Yesterdays color party was so much fun 👌🏽💗\n",
      "RT @Melissaa_ruiz: Back handsprings are fun!!!\n",
      "RT @SylvieD_xoxo: When you stay home watching everyone's snapchats of the fun they're having https://t.co/51Oa7E3mQ1\n",
      "Freudian slip? Searching Home Depot for a \"Nail Gun\" and I accidentally typed \"Nail Fun\". #girlscanlovepowertoolstoo\n",
      "#JaredLeto Had Fun Interacting with the #SuicideSquad Cast as #TheJoker https://t.co/V0yGcQbAMU\n",
      "RT @snsgroup: Great fun with @NicolaSturgeon this morning as she becomes the the official Patron of the @ScottishFA women's team. https://t…\n",
      "RT @simoncholland: My kid got made fun of at school because the clementine I sent in her lunch wasn't a name brand.\n",
      "moving is always fun 🙃\n",
      "RT @kd25___: Weed is just fun tobacco  https://t.co/4zZpPCB8QH\n",
      "why all fun\n",
      "The movie is here: https://t.co/gfjyysfoQV\n",
      "Morphed college whores having the best fun ever https://t.co/UcCi0hnMIo\n",
      "RT @TheObamaDiary: Fun Fact: In Clinton v Dole 96 presidential election, guess who Cenk Uygur voted for (he was 26)?\n",
      "\n",
      "Yep, Dole\n",
      "\n",
      "His Clinto…\n",
      "RT @CassidyJonesAdv: \"Fun. Suspenseful. Clean. Fast-paced. I can't recommend this series enough\" 4.8★ of 400+ rev https://t.co/TqJurz6eVv h…\n",
      "So much fun today w/@GwynethPaltrow learning about her new organic skincare line @goop! Product reviews coming soon https://t.co/VYuEzormgw\n",
      "#Bears News Matt Forte to Pats? Raiders go all-in? Five fun free agent fits (Shutdown Corner) https://t.co/SUwwtTNNdN\n",
      "RT @Neeru_Insaan: @Gurmeetramrahim the real fun in your movie is simply touching the mind and heart sensually. \n",
      "\n",
      "Omg. \n",
      "awesome feeling  #Fa…\n",
      "I'd like to personally thank the girl who was stood behind me at sleeping with sirens; for making fun of my height and then how I speak😒🖕🏼\n",
      "So that April 16 game should be fun\n",
      "Here is your fun fact of the day! Someone get me a bottle of A1 sauce. https://t.co/pxMW8v9zuz\n",
      "RT @wilson_baxter: Haha glad to know that was the first place you went to! Hope you two have fun 😂😂😂😂😂😂😂\n",
      "@SilverhawkARP That sounds like fun. What's London like?\n",
      "RT @MgaPatama: \"I want to refresh my mind, clear all my problems and just have fun with life.\"\n",
      "@ThirstyRando but i don't know why anyone would have purposely bred it that way unless just for fun or possibly silage or something\n",
      "@rnrkd um......fun vacay, looks like\n",
      "RT @TechCrunch: Shots Updates App To Focus On Fun https://t.co/d9x82GQ0k3\n",
      "For real fruity fun in your hand try this app from #Reflex Gaming! https://t.co/1ehcrndj7J https://t.co/zAGilXhZrg\n",
      "RT @MohamedAbbaass: مساء الفل عليكم يا احلى صحاب 😍\n",
      "#MohammadAbbas \n",
      "#party #fun #great #time #friends #love #you #all https://t.co/es2ugZBAbz\n",
      "RT @ChristoDoyle: Just for fun I made @goldrushtodd &amp; @goldrush_parker sit inches apart on #TheDirt tonight. Must see @Gold_Rush TV 8/7c @D…\n",
      "RT @BubblyRobinson: donald trump's sons kill (endangered) animals for fun. 🐸☕️  can y'all make this go viral or https://t.co/oWNTuy4wfz\n",
      "@NewOlderScene great 😀😀 fun to get away!\n",
      "Crazy sexy girls like to have fun. Do you agree? Check this: https://t.co/H2OlT4jicF #tits #bdsm #sextoys #kikgirl https://t.co/viqykptAhZ\n",
      "RT @RonaldoFCabuhat: If iHaveToSpendADay w/ MaiChard, i'll offer myself,listen. We'll talk adult matters,the fun stuffs! #ALDUBMaineEvent h…\n",
      "@MajoRamirezz haha it wasn't as fun as it sounds 😝\n",
      "Finally home from Atlantic City. Fun 2 day vacation but now it's back to the grind\n",
      "RT @JoeyGraceffa: GUYS! Make sure you're sending me a VIDEO question for the Snapchat Q&amp;A! Make them fun! 👻joeygraceffa16\n",
      "RT @BabyAnimalPics: fun date idea: we go to the animal shelter and adopt every dog\n",
      "RT @gamedestroyer66: Trigger Runners | Side Scrolling Fun: https://t.co/oRzTtmUGlo  #triggerrunners #indiegame #indiedev #GDTV\n",
      "Just taught a kid a lesson. You don't make fun of someone because they have less than you. Your shit can easily be taken from you.\n",
      "Brooklyn Nine-Nine S01E09 Fun #Brooklyn99  https://t.co/fVldkuaACa https://t.co/FbYKPplozK\n",
      "#Zootopia @shakira totally made this movie for me! So much fun. #TryEverything https://t.co/lccWdTAjEi via @YouTube\n",
      "RT @TNutritionista: Had so much fun presenting #guthealth recipes @eatrightnc! Thanks to everyone who attended! #savortheflavor #nnm https:…\n",
      "I liked a @YouTube video from @finfunmermaid https://t.co/42z003OCkb Help Fin Fun Get 40,000 Subscriber Tail giveaway!\n",
      "RT @_AkbarXavier: Show up and have fun courtesy of @blvdetiquettes https://t.co/B7GBY93u5d\n",
      "RT @Peugeot_Hansen: Friday Fun Day - with @SebastienLoeb and @Timmy_Hansen doing what they love. #FastFriday #Peugeot208WRX @FIAWorldRX htt…\n",
      "Via: https://t.co/t8aXirIzWu\n",
      "Young Americans have fun in a boutique https://t.co/qTkcrouUqo\n",
      "@JasonCashe @PerryWallace4CW @CyRiddle @4CWeFed I hope it's make fun of Perry night\n",
      "RT @_FlaDaDepressao: @vascodagama @sportrecife Uma vez inseto, sempre inseto. SEMPRE vão viver em função do Flamengo. Os 2 clubes mais inse…\n",
      "#justona #goodvibes #goodtimes #snooker #chilling #playhard #friends #fun #live #goodfriends… https://t.co/zvyj1FwosA\n",
      "RT @natekgarner: Unhappiness isnt forever\n",
      "Being made fun of isnt forever\n",
      "Not fitting in isnt forever\n",
      "Suicide is...\n",
      "It's not the answer &amp; im…\n",
      "😂 😂 😂 😂 😂 😂.   https://t.co/K0wTqalsot\n",
      "RT @ellieweber_: Too much fun @ Roseburg High School https://t.co/oPgPq9wpO0\n",
      "The Week in iOS Apps: Assassin's Creed Identity, Clash Royale, and other new games: Fun and gamesIt’s the dog ... https://t.co/O6EVuszYQJ\n",
      "\"Make it simple. Make it memorable. Make it inviting to look at. Makenit fun to dead.\" -Leo Burnett\n",
      "The Week in iOS Apps: Assassin's Creed Identity, Clash Royale, and other new games: Fun and gamesIt’s the dog ... https://t.co/2wieqlcsYC\n",
      "The Week in iOS Apps: Assassin's Creed Identity, Clash Royale, and other new games: Fun and games... https://t.co/2VCOUFzTm8 #Tech #Apple\n",
      "RT @xrzes: Being a vegetarian so fun I just got three bags of broccoli https://t.co/u5XbYNjste\n",
      "RT @miller12_ry: NO LONGER TALKING. EVERYTHING I SAY GETS TAKEN THE WRONG WAY OR GETS MADE FUN OF.\n",
      "Friends,\n",
      "Grab your sweetie and join the Chorale Acadienne singers for a fun evening of entertainment and food... https://t.co/tktKP2o2z4\n"
     ]
    }
   ],
   "source": [
    "for i, tweepy in enumerate(tweets_data):\n",
    "    \n",
    "    print tweepy['text']\n",
    "    \n",
    "    if i == 100:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "z =  u'\\U0001f49b'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I've enjoyed this basketball season though....the journey was sooo fun and exciting while it lasted....😊😊💜💛\n"
     ]
    }
   ],
   "source": [
    "print xx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "zz = tweets_data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'en'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zz['lang']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'\\U0001f3fb'"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u\"I've enjoyed this basketball season though....the journey was sooo fun and exciting while it lasted....\\U0001f60a\\U0001f60a\\U0001f49c\\U0001f49b\""
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "diversity_df = pd.read_csv('data/diversity_table.txt', encoding='utf-8', index_col=0)\n",
    "diversity_df['count'] = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dd =diversity_df.to_dict()['count'].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'\\U0001f483'"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(dd)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "384"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "😊 here\n",
      "💛 here\n",
      "💜 here\n"
     ]
    }
   ],
   "source": [
    "for key in emoji_dict.keys():\n",
    "    if key in xx:\n",
    "        print key, 'here'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Tweet Parsing\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pyspark import SparkContext\n",
    "import json\n",
    "import nltk\n",
    "import re\n",
    "from collections import Counter, defaultdict\n",
    "from nltk.stem.snowball import SnowballStemmer\n",
    "from nltk.stem.wordnet import WordNetLemmatizer\n",
    "from __future__ import division\n",
    "from string import punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sc = SparkContext()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "snowball = SnowballStemmer('english')\n",
    "wordnet = WordNetLemmatizer()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "REGEX = u\"[\\U00002712\\U00002714\\U00002716\\U0000271d\\U00002721\\U00002728\\U00002733\\U00002734\\U00002744\\U00002747\\U0000274c\\U0000274e\\U00002753-\\U00002755\\U00002757\\U00002763\\U00002764\\U00002795-\\U00002797\\U000027a1\\U000027b0\\U000027bf\\U00002934\\U00002935\\U00002b05-\\U00002b07\\U00002b1b\\U00002b1c\\U00002b50\\U00002b55\\U00003030\\U0000303d\\U0001f004\\U0001f0cf\\U0001f170\\U0001f171\\U0001f17e\\U0001f17f\\U0001f18e\\U0001f191-\\U0001f19a\\U0001f201\\U0001f202\\U0001f21a\\U0001f22f\\U0001f232-\\U0001f23a\\U0001f250\\U0001f251\\U0001f300-\\U0001f321\\U0001f324-\\U0001f393\\U0001f396\\U0001f397\\U0001f399-\\U0001f39b\\U0001f39e-\\U0001f3f0\\U0001f3f3-\\U0001f3f5\\U0001f3f7-\\U0001f4fd\\U0001f4ff-\\U0001f53d\\U0001f549-\\U0001f54e\\U0001f550-\\U0001f567\\U0001f56f\\U0001f570\\U0001f573-\\U0001f579\\U0001f587\\U0001f58a-\\U0001f58d\\U0001f590\\U0001f595\\U0001f596\\U0001f5a5\\U0001f5a8\\U0001f5b1\\U0001f5b2\\U0001f5bc\\U0001f5c2-\\U0001f5c4\\U0001f5d1-\\U0001f5d3\\U0001f5dc-\\U0001f5de\\U0001f5e1\\U0001f5e3\\U0001f5ef\\U0001f5f3\\U0001f5fa-\\U0001f64f\\U0001f680-\\U0001f6c5\\U0001f6cb-\\U0001f6d0\\U0001f6e0-\\U0001f6e5\\U0001f6e9\\U0001f6eb\\U0001f6ec\\U0001f6f0\\U0001f6f3\\U0001f910-\\U0001f918\\U0001f980-\\U0001f984\\U0001f9c0\\U00003297\\U00003299\\U000000a9\\U000000ae\\U0000203c\\U00002049\\U00002122\\U00002139\\U00002194-\\U00002199\\U000021a9\\U000021aa\\U0000231a\\U0000231b\\U00002328\\U00002388\\U000023cf\\U000023e9-\\U000023f3\\U000023f8-\\U000023fa\\U000024c2\\U000025aa\\U000025ab\\U000025b6\\U000025c0\\U000025fb-\\U000025fe\\U00002600-\\U00002604\\U0000260e\\U00002611\\U00002614\\U00002615\\U00002618\\U0000261d\\U00002620\\U00002622\\U00002623\\U00002626\\U0000262a\\U0000262e\\U0000262f\\U00002638-\\U0000263a\\U00002648-\\U00002653\\U00002660\\U00002663\\U00002665\\U00002666\\U00002668\\U0000267b\\U0000267f\\U00002692-\\U00002694\\U00002696\\U00002697\\U00002699\\U0000269b\\U0000269c\\U000026a0\\U000026a1\\U000026aa\\U000026ab\\U000026b0\\U000026b1\\U000026bd\\U000026be\\U000026c4\\U000026c5\\U000026c8\\U000026ce\\U000026cf\\U000026d1\\U000026d3\\U000026d4\\U000026e9\\U000026ea\\U000026f0-\\U000026f5\\U000026f7-\\U000026fa\\U000026fd\\U00002702\\U00002705\\U00002708-\\U0000270d\\U0000270f]|[#]\\U000020e3|[*]\\U000020e3|[0]\\U000020e3|[1]\\U000020e3|[2]\\U000020e3|[3]\\U000020e3|[4]\\U000020e3|[5]\\U000020e3|[6]\\U000020e3|[7]\\U000020e3|[8]\\U000020e3|[9]\\U000020e3|\\U0001f1e6[\\U0001f1e8-\\U0001f1ec\\U0001f1ee\\U0001f1f1\\U0001f1f2\\U0001f1f4\\U0001f1f6-\\U0001f1fa\\U0001f1fc\\U0001f1fd\\U0001f1ff]|\\U0001f1e7[\\U0001f1e6\\U0001f1e7\\U0001f1e9-\\U0001f1ef\\U0001f1f1-\\U0001f1f4\\U0001f1f6-\\U0001f1f9\\U0001f1fb\\U0001f1fc\\U0001f1fe\\U0001f1ff]|\\U0001f1e8[\\U0001f1e6\\U0001f1e8\\U0001f1e9\\U0001f1eb-\\U0001f1ee\\U0001f1f0-\\U0001f1f5\\U0001f1f7\\U0001f1fa-\\U0001f1ff]|\\U0001f1e9[\\U0001f1ea\\U0001f1ec\\U0001f1ef\\U0001f1f0\\U0001f1f2\\U0001f1f4\\U0001f1ff]|\\U0001f1ea[\\U0001f1e6\\U0001f1e8\\U0001f1ea\\U0001f1ec\\U0001f1ed\\U0001f1f7-\\U0001f1fa]|\\U0001f1eb[\\U0001f1ee-\\U0001f1f0\\U0001f1f2\\U0001f1f4\\U0001f1f7]|\\U0001f1ec[\\U0001f1e6\\U0001f1e7\\U0001f1e9-\\U0001f1ee\\U0001f1f1-\\U0001f1f3\\U0001f1f5-\\U0001f1fa\\U0001f1fc\\U0001f1fe]|\\U0001f1ed[\\U0001f1f0\\U0001f1f2\\U0001f1f3\\U0001f1f7\\U0001f1f9\\U0001f1fa]|\\U0001f1ee[\\U0001f1e8-\\U0001f1ea\\U0001f1f1-\\U0001f1f4\\U0001f1f6-\\U0001f1f9]|\\U0001f1ef[\\U0001f1ea\\U0001f1f2\\U0001f1f4\\U0001f1f5]|\\U0001f1f0[\\U0001f1ea\\U0001f1ec-\\U0001f1ee\\U0001f1f2\\U0001f1f3\\U0001f1f5\\U0001f1f7\\U0001f1fc\\U0001f1fe\\U0001f1ff]|\\U0001f1f1[\\U0001f1e6-\\U0001f1e8\\U0001f1ee\\U0001f1f0\\U0001f1f7-\\U0001f1fb\\U0001f1fe]|\\U0001f1f2[\\U0001f1e6\\U0001f1e8-\\U0001f1ed\\U0001f1f0-\\U0001f1ff]|\\U0001f1f3[\\U0001f1e6\\U0001f1e8\\U0001f1ea-\\U0001f1ec\\U0001f1ee\\U0001f1f1\\U0001f1f4\\U0001f1f5\\U0001f1f7\\U0001f1fa\\U0001f1ff]|\\U0001f1f4\\U0001f1f2|\\U0001f1f5[\\U0001f1e6\\U0001f1ea-\\U0001f1ed\\U0001f1f0-\\U0001f1f3\\U0001f1f7-\\U0001f1f9\\U0001f1fc\\U0001f1fe]|\\U0001f1f6\\U0001f1e6|\\U0001f1f7[\\U0001f1ea\\U0001f1f4\\U0001f1f8\\U0001f1fa\\U0001f1fc]|\\U0001f1f8[\\U0001f1e6-\\U0001f1ea\\U0001f1ec-\\U0001f1f4\\U0001f1f7-\\U0001f1f9\\U0001f1fb\\U0001f1fd-\\U0001f1ff]|\\U0001f1f9[\\U0001f1e6\\U0001f1e8\\U0001f1e9\\U0001f1eb-\\U0001f1ed\\U0001f1ef-\\U0001f1f4\\U0001f1f7\\U0001f1f9\\U0001f1fb\\U0001f1fc\\U0001f1ff]|\\U0001f1fa[\\U0001f1e6\\U0001f1ec\\U0001f1f2\\U0001f1f8\\U0001f1fe\\U0001f1ff]|\\U0001f1fb[\\U0001f1e6\\U0001f1e8\\U0001f1ea\\U0001f1ec\\U0001f1ee\\U0001f1f3\\U0001f1fa]|\\U0001f1fc[\\U0001f1eb\\U0001f1f8]|\\U0001f1fd\\U0001f1f0|\\U0001f1fe[\\U0001f1ea\\U0001f1f9]|\\U0001f1ff[\\U0001f1e6\\U0001f1f2\\U0001f1fc]|[0-9*#]\\ufe0f\\u20e3\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def tweet_process(tweet):\n",
    "    KEY = 'text'\n",
    "    try:\n",
    "        tw = json.loads(tweet.strip())\n",
    "        if KEY not in tw or tw['lang']!= 'en':\n",
    "            return None\n",
    "        return tw\n",
    "\n",
    "    except Exception as e:\n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "def emoji_preprocess(tweet, predict=False):\n",
    "    # add space before and after space\n",
    "    for emoji in re.findall(REGEX, tweet):\n",
    "        tweet = tweet.replace(emoji, ' ' + emoji + ' ')\n",
    "\n",
    "    # tokenize and remove rt and @ and https://\n",
    "    tweet = re.sub('\\?', '', tweet)\n",
    "    tweet = re.sub('\\.', '', tweet)\n",
    "    tweet = re.sub(',', '', tweet)\n",
    "    tweet = re.sub('!', '', tweet)\n",
    "\n",
    "    tweet_tmp = [ snowball.stem(wd.strip(punctuation)) for wd in tweet.strip('rt').split() if not wd.startswith('@') and not wd.startswith('http') and not wd.startswith('#') ]\n",
    "\n",
    "    if predict:\n",
    "        tweet_token = ['<s>'] + tweet_tmp\n",
    "    else:\n",
    "        tweet_token = ['<s>'] + tweet_tmp + ['</s>']\n",
    "\n",
    "    return tweet_token\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def bigrams(tweet):\n",
    "    return [ ((w1,), w2) for w1, w2 in nltk.bigrams(tweet)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def trigrams(tweet):\n",
    "    # generate trigrams from tweets\n",
    "    return [((w1, w2), w3) for w1, w2, w3 in nltk.trigrams(tweet)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def quadgrams(tweet):\n",
    "    #generate n grams\n",
    "    return [((w1, w2, w3), w4) for w1, w2, w3, w4 in nltk.ngrams(tweet, 4)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tweets =  sc.textFile('data/twitter_dump_small.txt')\\\n",
    ".filter(lambda tw: len(tw)>1)\\\n",
    ".filter(lambda tw: 'created_at' in tw)\\\n",
    ".map(tweet_process)\\\n",
    ".filter(lambda tw: tw != None)\\\n",
    ".map(lambda tw: tw['text'].lower() )\\\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tweets_tokens = tweets.map(emoji_preprocess)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bigram_count = tweets.map(emoji_preprocess).flatMap(bigrams).map(lambda bg: (bg, 1)).reduceByKey(lambda cnt1, cnt2: cnt1+cnt2).collect()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bigram_dict = tweets.map(emoji_preprocess).flatMap(bigrams).map(lambda bg: (bg, 1))\\\n",
    ".reduceByKey(lambda cnt1, cnt2: cnt1+cnt2).map(lambda (((w0,), w1), cnt): (w0, w1, cnt) ).collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-155-77b2879257ed>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-155-77b2879257ed>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    trigram_count = tweets.map(emoji_preprocess).flatMap(trigrams).map(lambda bg: (bg, 1)).reduceByKey(lambda cnt1, cnt2: cnt1+cnt2).map(lambda (((w0, w1), w2), cnt) : ((w0, w1,) w2, cnt) ).collect()\u001b[0m\n\u001b[1;37m                                                                                                                                                                                    ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "trigram_count = tweets.map(emoji_preprocess).flatMap(trigrams).map(lambda bg: (bg, 1)).reduceByKey(lambda cnt1, cnt2: cnt1+cnt2).map(lambda (((w0, w1), w2), cnt) : ((w0, w1,) w2, cnt) ).collect()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(u'the',\n",
       " u'do',\n",
       " u'today',\n",
       " u'friday',\n",
       " '<s>',\n",
       " u'spiderman',\n",
       " u'day',\n",
       " u'pbs',\n",
       " u'releas',\n",
       " '<s>',\n",
       " u'\\U0001f600',\n",
       " u'excit',\n",
       " u'two',\n",
       " u'internet',\n",
       " u'back',\n",
       " u'accept',\n",
       " u'treat',\n",
       " u'anoth',\n",
       " u'should',\n",
       " u'age',\n",
       " u'that',\n",
       " u'rav',\n",
       " u'hank',\n",
       " u'good',\n",
       " u'fun',\n",
       " u'fun',\n",
       " u'foam',\n",
       " u'all',\n",
       " u'fun',\n",
       " u'day',\n",
       " u'',\n",
       " u'1',\n",
       " u'fun',\n",
       " u'now',\n",
       " u'knew',\n",
       " u'to',\n",
       " u'oday',\n",
       " u's/o',\n",
       " u'grandma',\n",
       " '<s>',\n",
       " u'fact',\n",
       " u'\\U0001f918',\n",
       " '<s>',\n",
       " u'out',\n",
       " u'paint',\n",
       " u'news',\n",
       " u'check',\n",
       " u'my',\n",
       " u'be',\n",
       " u'ry',\n",
       " u'her',\n",
       " u'your',\n",
       " u'fun',\n",
       " u'fun',\n",
       " u'and',\n",
       " u'get',\n",
       " u'pleaser',\n",
       " u'play',\n",
       " u'fun',\n",
       " u'my',\n",
       " u'and\\u2026',\n",
       " u'these',\n",
       " u\"couldn't\",\n",
       " u'buddi',\n",
       " u'omgal',\n",
       " u'hey',\n",
       " '<s>',\n",
       " u'so',\n",
       " u'saddest',\n",
       " '<s>',\n",
       " u'and',\n",
       " u'help',\n",
       " u'need',\n",
       " u'sad',\n",
       " u'are',\n",
       " u'concert',\n",
       " u'way',\n",
       " u'msg-2',\n",
       " u'how',\n",
       " u'are',\n",
       " u'\\U0001f600',\n",
       " u'barf',\n",
       " u'me',\n",
       " u'conserv',\n",
       " u'staff',\n",
       " u\"doesn't\",\n",
       " u'have',\n",
       " u'actor',\n",
       " u'than',\n",
       " u'wait',\n",
       " '<s>',\n",
       " u'o',\n",
       " u'endless',\n",
       " u'hey',\n",
       " u'skype',\n",
       " '<s>',\n",
       " u'studio',\n",
       " u'b',\n",
       " u'great',\n",
       " u'sh*t',\n",
       " '<s>',\n",
       " u'problem',\n",
       " u'fun',\n",
       " u'and',\n",
       " u'day',\n",
       " u'3-gun',\n",
       " u'realli',\n",
       " u'his',\n",
       " u'onli',\n",
       " u\"i'm\",\n",
       " u'career',\n",
       " u'can',\n",
       " u'\\U0001f438',\n",
       " u'you',\n",
       " u'loui',\n",
       " u'insan',\n",
       " '<s>',\n",
       " u'processabow',\n",
       " u'on',\n",
       " u'ladi',\n",
       " u'stencil',\n",
       " u\"i'll\",\n",
       " u'shot',\n",
       " '<s>',\n",
       " u'patron',\n",
       " u'peopl',\n",
       " u'my',\n",
       " u'marketing-element',\n",
       " u'but',\n",
       " u'this',\n",
       " u'cudd',\n",
       " u'game',\n",
       " u'seem',\n",
       " u'you',\n",
       " u'violenc',\n",
       " u'to',\n",
       " u'brave',\n",
       " u'touch',\n",
       " '<s>',\n",
       " u'have',\n",
       " u'i',\n",
       " u'a',\n",
       " u'look',\n",
       " u'\\U0001f602',\n",
       " u'and',\n",
       " u'poker',\n",
       " u'at',\n",
       " u'\\u266b',\n",
       " u'tomorrow',\n",
       " u'by',\n",
       " u'great',\n",
       " u'to',\n",
       " u'fun',\n",
       " u'nearbi',\n",
       " u'work',\n",
       " u'to',\n",
       " u'i',\n",
       " u'yr',\n",
       " u'peopl',\n",
       " u'hometown',\n",
       " u'was',\n",
       " u'got',\n",
       " u'what',\n",
       " u'fa',\n",
       " u'know',\n",
       " u'dalek',\n",
       " u'had',\n",
       " u'3pm',\n",
       " u'do',\n",
       " u'came',\n",
       " u'idea',\n",
       " u'kau',\n",
       " u'tonight',\n",
       " u'time',\n",
       " u'vote',\n",
       " u'steinfeld',\n",
       " u'report',\n",
       " u'pic',\n",
       " u'me',\n",
       " u'\\u2022',\n",
       " u'back',\n",
       " u'let',\n",
       " u'send',\n",
       " u'\\U0001f409',\n",
       " u'are',\n",
       " u'to',\n",
       " u'thing',\n",
       " u'again',\n",
       " u'you',\n",
       " u'has',\n",
       " u'is',\n",
       " u'winnipeg',\n",
       " u'and',\n",
       " u'special',\n",
       " u'video',\n",
       " u'ice',\n",
       " u'find',\n",
       " u'experi',\n",
       " u'too',\n",
       " u'find',\n",
       " u\"we'r\",\n",
       " u'morph',\n",
       " u'cushion',\n",
       " u'emind',\n",
       " u'replay',\n",
       " u'hahahaha',\n",
       " u'never',\n",
       " u'pretti',\n",
       " u'it',\n",
       " u'and',\n",
       " u'say',\n",
       " u'one',\n",
       " u'much',\n",
       " u'kettl',\n",
       " u'\\U0001f44f',\n",
       " u'vs',\n",
       " u'laboratori',\n",
       " u'work',\n",
       " u'bunz',\n",
       " u'ya',\n",
       " u'air',\n",
       " u'seven',\n",
       " u'on',\n",
       " u'of',\n",
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       " u'5pm',\n",
       " u'aka',\n",
       " u'are',\n",
       " ...)"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zip(*bigram_dict)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bigram_model = pd.DataFrame(index = list(set(zip(*bigram_dict)[0])),  columns= list(set(zip(*bigram_dict)[1])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "ivi are 1\n",
      "spoiler are 2\n",
      "night light 2\n",
      "today </s> 14\n",
      "this video 12\n",
      "drama but 2\n",
      "go 100mph 2\n",
      "can karaok 2\n",
      "💗 </s> 6\n",
      "camo duffl 2\n",
      "cut finger 2\n",
      "doesn't that 2\n",
      "republican at 4\n",
      "🇯🇵 maichardseizethemo 2\n",
      "our japanes 2\n",
      "a tool 2\n",
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      "video here 2\n",
      "save grace 4\n",
      "favorit shit 2\n",
      "<s> join 10\n",
      "a nicer 2\n",
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      "tube top 2\n",
      "karaok in 2\n",
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      "visit her 4\n",
      "the hood 2\n",
      "🤓 </s> 4\n",
      "a small 4\n",
      "damn was 2\n",
      "at new 2\n",
      "than to 2\n",
      "but glad 2\n",
      "today i'm 2\n",
      "shop is 2\n",
      "bore but 2\n",
      "life with 12\n",
      "fun 😑 2\n",
      "everyth i 4\n",
      "fun last 4\n",
      "littl end 2\n",
      "game where 2\n",
      "<s> and 4\n",
      "snac… </s> 2\n",
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      "4 of 2\n",
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      "queen elsa 2\n",
      "wavemania </s> 2\n",
      "like they'r 2\n",
      "girl lil 2\n",
      "of oz 2\n",
      "suspens clean 2\n",
      "be reward 2\n",
      "unhappi isnt 10\n",
      "all fun 6\n",
      "lone 🙃 2\n",
      "host </s> 2\n",
      "actual had 2\n",
      "my fan 2\n",
      "true lol 2\n",
      "superior becaus 2\n",
      "okkinderhook super 2\n",
      "is tri 2\n",
      "an effect 4\n",
      "😊 💖 4\n",
      "on poshmark 2\n",
      "product review 2\n",
      "<s> date 4\n",
      "throne </s> 2\n",
      "live so 2\n",
      "👍 👍 2\n",
      "but i'm 4\n",
      "omg </s> 2\n",
      "everyth fun 2\n",
      "i'v heard 4\n",
      "<s> morn 2\n",
      "y'all enjoy 2\n",
      "<s> those 4\n",
      "great perform 2\n",
      "album tour 4\n",
      "wtf fun 2\n",
      "said it 2\n",
      "a moment 2\n",
      "when her 2\n",
      "in daytona 2\n",
      "have some 30\n",
      "status but 4\n",
      "sound fun 6\n",
      "dj kathniel 4\n",
      "use ipad 2\n",
      "<s> unhappi 10\n",
      "discuss that 2\n",
      "video for 2\n",
      "play with 8\n",
      "<s> bingo 2\n",
      "for make 6\n",
      "ㅠㅠㅠ huhuhu 2\n",
      "summer it 2\n",
      "class learn 2\n",
      "to everyon 6\n",
      "amp oh 2\n",
      "a free 2\n",
      "to storyboard 2\n",
      "<s> two-year-old 2\n",
      "lip read 2\n",
      "but i 4\n",
      "turn up 2\n",
      "be wide 4\n",
      "night are 2\n",
      "that april 2\n",
      "wish everyon 4\n",
      "ealli enjoy 2\n",
      "a dark 2\n",
      "a surrog 2\n",
      "off against 2\n",
      "cours of 2\n",
      "fade knife 2\n",
      "make this 46\n",
      "mee </s> 2\n",
      "get your 2\n",
      "and famili 4\n",
      "or possibl 2\n",
      "them this 2\n",
      "pizza or 2\n",
      "been super 2\n",
      "and friend 2\n",
      "date websit 2\n",
      "nicol i 2\n",
      "post selfi 2\n",
      "<s> afflalo 2\n",
      "<s> manicur 2\n",
      "where my 2\n",
      "3/26 6pm 2\n",
      "i will 2\n",
      "dinner is 2\n",
      "helena should 2\n",
      "no… </s> 2\n",
      "you the 2\n",
      "sensual omg 2\n",
      "with fun 2\n",
      "parad next 2\n",
      "me rt 2\n",
      "alaskan girl 2\n",
      "snow amp 2\n",
      "well come 2\n",
      "in to 6\n",
      "thank you'r 2\n",
      "omg awesom 2\n",
      "stove from 2\n",
      "💃 🏻 6\n",
      "1 </s> 4\n",
      "request </s> 2\n",
      "they had 4\n",
      "dure school 2\n",
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      "disney </s> 2\n",
      "rt </s> 2\n",
      "much ㅠㅠㅠ 2\n",
      "is when 2\n",
      "merch and 2\n",
      "🖕 🏿 2\n",
      "<s> brooklyn 2\n",
      "bridg part 2\n",
      "their hand 2\n",
      "of holiday 2\n",
      "hope y'all 2\n",
      "on pant 2\n",
      "boutiqu </s> 2\n",
      "wayn knight 2\n",
      "same boat 2\n",
      "support me 2\n",
      "631-388-1880 </s> 2\n",
      "that one 2\n",
      "of yourself 2\n",
      "someon if 10\n",
      "full to 2\n",
      "regret noth 2\n",
      "nasti c 2\n",
      "fun way 2\n",
      "weird </s> 2\n",
      "singl so 2\n",
      "dumb shit 2\n",
      "with i 2\n",
      "crew ht… 2\n",
      "my snapchat 2\n",
      "i hope 18\n",
      "dololo emte 2\n",
      "music/i fun 2\n",
      "<s> hat 4\n",
      "when pudg 2\n",
      "on incredibox 2\n",
      "photo on 2\n",
      "new seri 2\n",
      "to thank 4\n",
      "be it 2\n",
      "your team 2\n",
      "my lil 2\n",
      "a problem 2\n",
      "video where 4\n",
      "probabl after 2\n",
      "dave south 2\n",
      "great so 2\n",
      "time in 2\n",
      "easy-go excit 2\n",
      "video when 2\n",
      "your inbox 2\n",
      "badoo </s> 4\n",
      "of lacklust 2\n",
      "as ego 2\n",
      "the info 2\n",
      "siren for 2\n",
      "florida would 2\n",
      "fun 😁 12\n",
      "page look 2\n",
      "superhero fun 2\n",
      "and just 32\n",
      "to pull 2\n",
      "art audit 2\n",
      "by 12-inch 2\n",
      "homi throw 2\n",
      "amp grow 12\n",
      "it like 2\n",
      "fun narrat 2\n",
      "top leopard 2\n",
      "appletv that 2\n",
      "they fix 2\n",
      "again soon 2\n",
      "interview with 4\n",
      "<s> shot 2\n",
      "<s> film 2\n",
      "veri fun 4\n",
      "all her 2\n",
      "my go 2\n",
      "a gummi 2\n",
      "hen my 2\n",
      "<s> pleas 2\n",
      "oyster </s> 2\n",
      "and with 2\n",
      "your heart 6\n",
      "the late 2\n",
      "cute get 4\n",
      "is here 2\n",
      "start now 6\n",
      "gummi joker 2\n",
      "boat what 2\n",
      "just me 2\n",
      "so freak 2\n",
      "soon too 2\n",
      "server they'r 2\n",
      "say about 2\n",
      "😓  2\n",
      "chicken for 2\n",
      "baestro hatin 2\n",
      "sip class 2\n",
      "them but 2\n",
      "6 holiday 2\n",
      "to close 2\n",
      "shave so 2\n",
      "learn in 2\n",
      "use i 2\n",
      "eye fool 4\n",
      "sheet for 4\n",
      "got their 2\n",
      "i would 2\n",
      "you </s> 12\n",
      "yeah that 2\n",
      "at icn 6\n",
      "meantim </s> 2\n",
      "preview/160305 leeteuk 6\n",
      "my onli 2\n",
      "to hangout 2\n",
      "i'm not 8\n",
      "our futur 2\n",
      "gonna restart 2\n",
      "mani peopl 2\n",
      "this simpl 2\n",
      "there 😊 4\n",
      "longest night 2\n",
      "fun allahhhhhh 2\n",
      "today 😝 2\n",
      "sunday 3/13 2\n",
      "haunt house– 2\n",
      "👇 maichardseizethemo 6\n",
      "whole career 2\n",
      "now more 2\n",
      "with maxx 2\n",
      "us for 4\n",
      "<s> urn 2\n",
      "a dual 2\n",
      "or mayb 2\n",
      "film someth 2\n",
      "vacat but 2\n",
      "and folk 2\n",
      "perform laboum 2\n",
      "lol bowl 2\n",
      "the </s> 2\n",
      "tonight  4\n",
      "wish peopl 2\n",
      "<s> am 4\n",
      "weekend we 2\n",
      "fun and 90\n",
      "drink up 2\n",
      "discov and 2\n",
      "your toilet 2\n",
      "enjoy a 2\n",
      "believ it 2\n",
      "of our 4\n",
      "bred it 2\n",
      "fun i 30\n",
      "<s> the 8\n",
      "babe xx 2\n",
      "🏽 💗 2\n",
      "orlando for 2\n",
      "main event 4\n",
      "typo make 2\n",
      "amp are 2\n",
      "<s> ashish 2\n",
      "littl black 2\n",
      "6 pm 2\n",
      "i enjoy 4\n",
      "fun not 2\n",
      "go into 26\n",
      "about lion 2\n",
      "weekend servic 2\n",
      "this date 2\n",
      "servic fun 2\n",
      "deep breath 2\n",
      "bear </s> 4\n",
      "that'd actual 12\n",
      "it till 2\n",
      "<s> may 3\n",
      "love a 4\n",
      "and vj 2\n",
      "<s> 📷 2\n",
      "read </s> 4\n",
      "via sandytoesmom 2\n",
      "aye have 2\n",
      "did a 4\n",
      "everi nigh 2\n",
      "pls rt 2\n",
      "a success 2\n",
      "af bc 2\n",
      "got an 2\n",
      "lacross game 2\n",
      "sea </s> 2\n",
      "you ain't 2\n",
      "touch the 2\n",
      "💕 </s> 4\n",
      "fixer upper 2\n",
      "like such 2\n",
      "now don't 2\n",
      "act like 2\n",
      "<s> play 4\n",
      "match the 2\n",
      "in like 2\n",
      "h1z1 fun 2\n",
      "come join 8\n",
      "get thing 2\n",
      "on our 2\n",
      "today vip 2\n",
      "indian vs 2\n",
      "husband say 2\n",
      "singer for 2\n",
      "cool thing 2\n",
      "got realli 2\n",
      "photo booth 2\n",
      "omg ㅠㅠ 2\n",
      "my place 2\n",
      "duck at 2\n",
      "of fixer 2\n",
      "forgot how 2\n",
      "newest campaign 2\n",
      "when and 10\n",
      "land fun-tim 2\n",
      "to find 2\n",
      "brilliant fun 2\n",
      "guy and 2\n",
      "bushido blade 2\n",
      "see my 2\n",
      "a go 2\n",
      "is onli 10\n",
      "is rearrang 2\n",
      "of entertain 2\n",
      "<s> haha 6\n",
      "make pun 2\n",
      "in summer 2\n",
      "to know 4\n",
      "rememb me 2\n",
      "kid too 2\n",
      "mayb wayn 2\n",
      "nativ extens 2\n",
      "ipad for 2\n",
      "sweet it 2\n",
      "young team 2\n",
      "for </s> 2\n",
      "amaz day 14\n",
      "<s> freudian 2\n",
      "😜 such 2\n",
      "twittervers </s> 2\n",
      "but we 2\n",
      "scrrame i 2\n",
      "dress and 2\n",
      "💘 💘 4\n",
      "video make 2\n",
      "is 10x 2\n",
      "product but 2\n",
      "i'm alon 4\n",
      "that has 2\n",
      "like to 16\n",
      "the beta 2\n",
      "color corrector 2\n",
      "think of 2\n",
      "you'r do 2\n",
      "this real 2\n",
      "hahahahaha 😆 2\n",
      "fun laugh 2\n",
      "blond hav 2\n",
      "her damn 2\n",
      "fun for 6\n",
      "tho </s> 4\n",
      "just a 8\n",
      "3 game 2\n",
      "food </s> 2\n",
      "our ek… 2\n",
      "today 😍 2\n",
      "🍷 🍹 2\n",
      "come outta 2\n",
      "more save 2\n",
      "hope the 2\n",
      "what they 2\n",
      "vegetarian so 8\n",
      "<s> 55-55 2\n",
      "miss </s> 2\n",
      "wtf </s> 6\n",
      "shit make 2\n",
      "dead inquisit 2\n",
      "wet pussi 2\n",
      "not the 16\n",
      "improv keep 2\n",
      "<s> did 4\n",
      "a tough 2\n",
      "me im 2\n",
      "we'll miss 2\n",
      "mastermind group 4\n",
      "scratter babe 2\n",
      "leeteuk kangin 6\n",
      "univers of 2\n",
      "so sorri 2\n",
      "question for 8\n",
      "invit are 2\n",
      "4/6/9/12 ht… 2\n",
      "not a 2\n",
      "that in 2\n",
      "to fuck 2\n",
      "wheel  2\n",
      "pitcher was 2\n",
      "than you'r 2\n",
      "format song 2\n",
      "like leia 2\n",
      "tonight fun 2\n",
      "enter to 2\n",
      "this guy 2\n",
      "the vive 2\n",
      "so great 4\n",
      "thing i'v 2\n",
      "husker and 2\n",
      "thrower ran 2\n",
      "one to 2\n",
      "😅 🍹 2\n",
      "yourself to 2\n",
      "for tri 2\n",
      "📷 wtf-fun-factss 2\n",
      "it tomorrow 2\n",
      "or other 2\n",
      "activ </s> 2\n",
      "play water 2\n",
      "in your 16\n",
      "snapchat worri 2\n",
      "not onli 2\n",
      "keep boogi 2\n",
      " price 2\n",
      "fun chat 4\n",
      "nicer guy 2\n",
      "too scattershot 2\n",
      "out of 14\n",
      "makenit fun 2\n",
      "life </s> 8\n",
      "hat </s> 4\n",
      "the bball 2\n",
      "you just 4\n",
      "fri chicken 2\n",
      "make for 6\n",
      "ani other 2\n",
      "is what 2\n",
      "💯 </s> 2\n",
      "rounder today 2\n",
      "<s> bruhhhh 2\n",
      "miss the 6\n",
      "they would 2\n",
      "quinn play 2\n",
      "this super 2\n",
      "friend with 2\n",
      "random pic 2\n",
      "miss some 2\n",
      " </s> 36\n",
      "perfect fit 2\n",
      "too 💖 2\n",
      "♡ </s> 4\n",
      "full swing 2\n",
      "coma </s> 2\n",
      "will you 4\n",
      "sign in 6\n"
     ]
    }
   ],
   "source": [
    "for w0, w1, cnt in bigram_dict:\n",
    "    print w0, w1, cnt\n",
    "    bigram_model.loc[w0][w1] = cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sp = bigram_model.to_sparse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigram_model.ix['sleep']['hate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df.loc['good']['hang'] =2 \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "    a   b\n",
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   "source": [
    "x.join(y)"
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  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
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   "source": [
    "index = []\n",
    "dicts = []"
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  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "for (((w0,),w1) , cnt) in bigram_count:\n",
    "    index.append(w0)\n",
    "    dicts.append({w1:cnt})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
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   "outputs": [
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       " u'\\U0001f600',\n",
       " u'excit',\n",
       " u'two',\n",
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       " u'treat',\n",
       " u'anoth',\n",
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       " u'age',\n",
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       " u'rav',\n",
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       " u'be',\n",
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       " u'pleaser',\n",
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       " u'deni',\n",
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       " u'and',\n",
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       " u'3-gun',\n",
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       " u'bts',\n",
       " u'her)',\n",
       " u'a',\n",
       " u'i',\n",
       " u\"isn't\",\n",
       " u'cross',\n",
       " u'spent',\n",
       " u'great',\n",
       " u'ump',\n",
       " u'bot',\n",
       " u'a',\n",
       " u'time',\n",
       " u'leonard',\n",
       " u'heard',\n",
       " u'\\U0001f44c',\n",
       " u'cortney',\n",
       " u'and',\n",
       " u'2',\n",
       " u'when',\n",
       " u'diggiti',\n",
       " u'fun',\n",
       " u'seem',\n",
       " u'you',\n",
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       " u'lick',\n",
       " u'mean',\n",
       " u'fun',\n",
       " u'me',\n",
       " u'round',\n",
       " u'sidelin',\n",
       " u'and',\n",
       " u\"i'm\",\n",
       " u'cheeki',\n",
       " u'right',\n",
       " u'ry',\n",
       " u'eaton',\n",
       " u'who',\n",
       " u'be',\n",
       " u'to',\n",
       " u'rawdograw',\n",
       " '<s>',\n",
       " u'actual',\n",
       " u'better',\n",
       " u'joeygraceffa16',\n",
       " u'75',\n",
       " u'bridal',\n",
       " u'lol',\n",
       " u'\\U0001f49a',\n",
       " u'on',\n",
       " u'worri',\n",
       " u'thank',\n",
       " u'fun',\n",
       " u'week',\n",
       " u'at',\n",
       " u'send',\n",
       " u'open',\n",
       " u'extens',\n",
       " u'my',\n",
       " u'her',\n",
       " u'\\U0001f3dd',\n",
       " u'us',\n",
       " u'new',\n",
       " u'yale',\n",
       " u'effect',\n",
       " u'of',\n",
       " u'are',\n",
       " u'\"turn',\n",
       " u'(rememb',\n",
       " u'frank',\n",
       " u'to',\n",
       " u'was',\n",
       " u'member',\n",
       " '<s>',\n",
       " u'star',\n",
       " u'have',\n",
       " u'play',\n",
       " u'you',\n",
       " u'good',\n",
       " u'to',\n",
       " u'my',\n",
       " u'for',\n",
       " u'\\u262e',\n",
       " u'fun',\n",
       " u'my',\n",
       " u'on',\n",
       " u'make',\n",
       " u'&amp;',\n",
       " u'a',\n",
       " u'half',\n",
       " u'out',\n",
       " u'bodi',\n",
       " u'domest',\n",
       " u'hs',\n",
       " u'feel',\n",
       " u'to',\n",
       " u'your',\n",
       " u'your',\n",
       " u'particip',\n",
       " '<s>',\n",
       " u'back',\n",
       " '<s>',\n",
       " u'that',\n",
       " '<s>',\n",
       " u'lie',\n",
       " u'usual',\n",
       " u'7:30pm',\n",
       " u\"we'r\",\n",
       " u'be',\n",
       " u'night',\n",
       " u'rt',\n",
       " u'fgc',\n",
       " u'ps1',\n",
       " u'get',\n",
       " u'of',\n",
       " u'in',\n",
       " u'broccoli',\n",
       " ...]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pd.DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trigram_count = tweets.map(emoji_preprocess).flatMap(trigrams).map(lambda bg: (bg, 1)).reduceByKey(lambda cnt1, cnt2: cnt1+cnt2).collect()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quadgrams_count = tweets.map(emoji_preprocess).flatMap(quadgrams).map(lambda bg: (bg, 1)).reduceByKey(lambda cnt1, cnt2: cnt1+cnt2).collect()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       " (((u'your',), u'break'), 2),\n",
       " ((('<s>',), u'f/a'), 2),\n",
       " (((u'creat',), u'by'), 4),\n",
       " (((u'water',), u'sport'), 2),\n",
       " (((u'this',), u'new'), 2),\n",
       " (((u'(endangered)',), u'anim'), 30),\n",
       " (((u'beck',), u'see'), 2),\n",
       " (((u'two',), u'metric'), 2),\n",
       " (((u'with',), u'me:'), 4),\n",
       " (((u'jeff',), '</s>'), 2),\n",
       " (((u'\\ufe0f',), u'\\U0001f40e'), 2),\n",
       " (((u'tough',), u'one'), 2),\n",
       " (((u'got',), u'and'), 2),\n",
       " (((u'5',), u'min'), 2),\n",
       " (((u'school',), u'after'), 2),\n",
       " (((u'austin',), u'idk'), 2),\n",
       " (((u'myself',), u'on'), 2),\n",
       " ((('<s>',), u'event'), 2),\n",
       " (((u'miss',), u'be'), 2),\n",
       " (((u'social',), u'tactic'), 2),\n",
       " (((u'concert',), u':('), 2),\n",
       " (((u'a',), u'trunk'), 4),\n",
       " (((u'friday',), '</s>'), 2),\n",
       " (((u'sat',), u'3/26'), 2),\n",
       " (((u'me',), u'or'), 4),\n",
       " ((('<s>',), u'whi'), 2),\n",
       " (((u'clip',), u'of'), 2),\n",
       " (((u'alway',), u'a'), 8),\n",
       " (((u'annoy',), u'voic'), 2),\n",
       " (((u'soni',), u'rx100'), 2),\n",
       " (((u'when',), u\"you'r\"), 6),\n",
       " (((u'fun',), u'parti'), 2),\n",
       " (((u'great',), u'2016'), 2),\n",
       " (((u'adult',), u'fun'), 2),\n",
       " (((u'good',), u'and'), 2),\n",
       " (((u'drama',), u'no'), 2),\n",
       " (((u'&amp;',), u'heechul'), 6),\n",
       " (((u'set',), u'a'), 10),\n",
       " (((u'\\U0001f3fe',), '</s>'), 4),\n",
       " (((u'get',), u'free'), 2),\n",
       " (((u'more',), u'pre'), 2),\n",
       " (((u'of',), u'\\u2661'), 2),\n",
       " (((u'alway',), '</s>'), 2),\n",
       " (((u'firstborn',), u'child'), 2),\n",
       " (((u'\\U0001f602',), u'\\U0001f60b'), 2),\n",
       " ((('<s>',), u'day'), 4),\n",
       " (((u'hear',), u'out'), 2),\n",
       " (((u'particip',), u'staff'), 2),\n",
       " (((u'my',), u'brother'), 2),\n",
       " (((u'lunch',), u'so'), 2),\n",
       " (((u'than',), u'you'), 2),\n",
       " (((u'urn',), u'your'), 2),\n",
       " (((u'\"nail',), u'gun\"'), 2),\n",
       " (((u'\"you',), u'guy'), 2),\n",
       " ((('<s>',), u'lion:'), 2),\n",
       " (((u'has',), u'had'), 2),\n",
       " (((u'she',), u\"didn't\"), 2),\n",
       " (((u'in',), u'shangri-la'), 4),\n",
       " (((u'fuck',), u'methi'), 2),\n",
       " (((u'400+',), u'rev'), 2),\n",
       " (((u'book--which',), u\"isn't\"), 4),\n",
       " (((u'hm',), '</s>'), 2),\n",
       " (((u'potenti',), u'of'), 2),\n",
       " (((u'record',), u'guess'), 10),\n",
       " (((u'follow',), u'me'), 2),\n",
       " (((u'anoth',), u'awesom'), 2),\n",
       " (((u'citi',), u'just'), 2),\n",
       " (((u'walki',), u'talki'), 6),\n",
       " (((u'at',), u'ransack'), 2),\n",
       " (((u'watch',), u'idk'), 2),\n",
       " (((u'hi',), u'been'), 2),\n",
       " (((u'children',), u'enjoy'), 2),\n",
       " (((u'sa',), u'kilig'), 2),\n",
       " (((u'or',), '</s>'), 30),\n",
       " (((u'cpac',), u'is'), 4),\n",
       " (((u'debat',), u'with'), 4),\n",
       " (((u'up',), u'with'), 4),\n",
       " (((u'were',), u'fun'), 2),\n",
       " (((u'lone',), u'click'), 4),\n",
       " (((u'better',), u'than'), 2),\n",
       " (((u'im\\u2026',), '</s>'), 10),\n",
       " (((u'relax',), u'&amp;'), 2),\n",
       " (((u'friend',), u'\\U0001f49a'), 2),\n",
       " (((u'show',), u'us'), 2),\n",
       " (((u'no',), u'fun'), 8),\n",
       " (((u'fun',), u'who'), 2),\n",
       " (((u'if',), u'you'), 20),\n",
       " (((u'bottl',), u'of'), 4),\n",
       " (((u'the',), u'intro'), 2),\n",
       " (((u'sleep',), u'on'), 2),\n",
       " (((u'more',), u'puyat'), 2),\n",
       " (((u'\\U0001f611',), u'\\U0001f60a'), 2),\n",
       " (((u'wish',), u'they'), 2),\n",
       " (((u'you',), u'are'), 12),\n",
       " (((u'bc',), u'i'), 2),\n",
       " (((u'to',), u'vote'), 2),\n",
       " (((u'cool',), u'we'), 4),\n",
       " (((u'girl',), u'at'), 2),\n",
       " (((u'fun',), u'90'), 2),\n",
       " (((u'bash',), u'cafe'), 2),\n",
       " (((u'juici',), u'fun'), 2),\n",
       " (((u'this',), u'summer'), 2),\n",
       " (((u\"didn't\",), u'do'), 2),\n",
       " (((u'et/c',), u'and'), 26),\n",
       " (((u'day',), u'have'), 2),\n",
       " (((u'and',), u'now'), 4),\n",
       " (((u'is',), u'to'), 2),\n",
       " (((u'had',), u'like'), 2),\n",
       " (((u'this:',), '</s>'), 2),\n",
       " (((u'court',), u'nice'), 2),\n",
       " (((u'there',), u'a'), 2),\n",
       " (((u'check',), u'us'), 2),\n",
       " (((u'vacat',), u'keep'), 2),\n",
       " (((u'a',), u'teacher'), 2),\n",
       " (((u\"they'r\",), u'have'), 4),\n",
       " (((u'notebook',), u'&amp;'), 2),\n",
       " (((u'on',), u'the'), 18),\n",
       " (((u'realli',), u'about'), 12),\n",
       " (((u'my',), u'of'), 2),\n",
       " (((u'fun',), u'hahaha'), 2),\n",
       " (((u'his',), u'video'), 2),\n",
       " (((u'other',), u'fun'), 6),\n",
       " (((u'bts',), u'[requested]'), 2),\n",
       " (((u'her)',), u'who'), 2),\n",
       " (((u'a',), u'it'), 2),\n",
       " (((u'i',), u'recent'), 2),\n",
       " (((u\"isn't\",), u'much'), 2),\n",
       " (((u'cross',), u'my'), 2),\n",
       " (((u'spent',), u'with'), 2),\n",
       " (((u'great',), u'day'), 2),\n",
       " (((u'ump',), u'is'), 2),\n",
       " (((u'bot',), u'lineup'), 2),\n",
       " (((u'a',), u'main'), 2),\n",
       " (((u'time',), u'tonight'), 2),\n",
       " (((u'leonard',), u'pilot'), 2),\n",
       " (((u'heard',), u'so'), 2),\n",
       " (((u'\\U0001f44c',), u'\\U0001f4af'), 2),\n",
       " (((u'cortney',), u'was'), 2),\n",
       " (((u'and',), u'quest;'), 2),\n",
       " (((u'2',), u'explain'), 2),\n",
       " (((u'when',), u'your'), 2),\n",
       " (((u'diggiti',), u'dog'), 2),\n",
       " (((u'fun',), u'ani'), 2),\n",
       " (((u'seem',), u'like'), 2),\n",
       " (((u'you',), u'at'), 4),\n",
       " (((u'ellen',), u'have'), 2),\n",
       " (((u'oday',), u'my'), 2),\n",
       " (((u'lick',), u'tobe'), 4),\n",
       " (((u'mean',), u'we'), 2),\n",
       " (((u'fun',), u'out'), 4),\n",
       " (((u'me',), u'to'), 2),\n",
       " (((u'round',), '</s>'), 2),\n",
       " (((u'sidelin',), '</s>'), 2),\n",
       " (((u'and',), u'act'), 2),\n",
       " (((u\"i'm\",), u'addict'), 2),\n",
       " (((u'cheeki',), u'littl'), 2),\n",
       " (((u'right',), u'\\U0001f643'), 2),\n",
       " (((u'ry',), u'+'), 2),\n",
       " (((u'eaton',), u'\\u263a'), 2),\n",
       " (((u'who',), u'was'), 2),\n",
       " (((u'be',), u'fun'), 50),\n",
       " (((u'to',), u'miss'), 2),\n",
       " (((u'rawdograw',), u'teflontwuan'), 2),\n",
       " ((('<s>',), u'onlin'), 2),\n",
       " (((u'actual',), u'be'), 12),\n",
       " (((u'better',), u'man'), 2),\n",
       " (((u'joeygraceffa16',), '</s>'), 8),\n",
       " (((u'75',), u'via'), 2),\n",
       " (((u'bridal',), u'show'), 2),\n",
       " (((u'lol',), u'fun\\u2026'), 2),\n",
       " (((u'\\U0001f49a',), u'htt\\u2026'), 2),\n",
       " (((u'on',), u'her'), 2),\n",
       " (((u'worri',), u'too'), 2),\n",
       " (((u'thank',), u'the'), 2),\n",
       " (((u'fun',), u'la'), 2),\n",
       " (((u'week',), u'\\u2708'), 2),\n",
       " (((u'at',), u'targ'), 2),\n",
       " (((u'send',), u'to'), 2),\n",
       " (((u'open',), u'day'), 2),\n",
       " (((u'extens',), u'compil'), 2),\n",
       " (((u'my',), u'kid'), 2),\n",
       " (((u'her',), u'new'), 2),\n",
       " (((u'\\U0001f3dd',), u'detail'), 2),\n",
       " (((u'us',), u'your'), 2),\n",
       " (((u'new',), u'but'), 2),\n",
       " (((u'yale',), u'pitcher'), 2),\n",
       " (((u'effect',), u'and'), 2),\n",
       " (((u'of',), u'donald'), 2),\n",
       " (((u'are',), u'so'), 2),\n",
       " (((u'\"turn',), u'out'), 2),\n",
       " (((u'(rememb',), u'me'), 2),\n",
       " (((u'frank',), u'im'), 2),\n",
       " (((u'to',), u'my'), 16),\n",
       " (((u'was',), u'peac'), 2),\n",
       " (((u'member',), u'who'), 2),\n",
       " ((('<s>',), u'it'), 60),\n",
       " (((u'star',), u'of'), 2),\n",
       " (((u'have',), u'more'), 8),\n",
       " (((u'play',), u'that'), 2),\n",
       " (((u'you',), u'zildjian'), 12),\n",
       " (((u'good',), u'rt'), 2),\n",
       " (((u'to',), u'hang'), 2),\n",
       " (((u'my',), u'mini'), 2),\n",
       " (((u'for',), u'him'), 2),\n",
       " (((u'\\u262e',), '</s>'), 4),\n",
       " (((u'fun',), u'\\U0001f60c'), 2),\n",
       " (((u'my',), u'hockey'), 2),\n",
       " (((u'on',), u'fun'), 2),\n",
       " (((u'make',), u'sure'), 12),\n",
       " (((u'&amp;',), u'view'), 2),\n",
       " (((u'a',), u'stupid'), 2),\n",
       " (((u'half',), u'my'), 2),\n",
       " (((u'out',), u'but'), 2),\n",
       " (((u'bodi',), u'connect'), 2),\n",
       " (((u'domest',), u'violenc'), 2),\n",
       " (((u'hs',), u'jv'), 2),\n",
       " (((u'feel',), u'like'), 8),\n",
       " (((u'to',), u'just'), 2),\n",
       " (((u'your',), u'down'), 2),\n",
       " (((u'your',), u'energi'), 2),\n",
       " (((u'particip',), u'in'), 2),\n",
       " ((('<s>',), u'retweet'), 2),\n",
       " (((u'back',), u'with'), 2),\n",
       " ((('<s>',), u'now'), 6),\n",
       " (((u'that',), u'sound'), 6),\n",
       " ((('<s>',), u'face'), 2),\n",
       " (((u'lie',), u'haha'), 2),\n",
       " (((u'usual',), '</s>'), 2),\n",
       " (((u'7:30pm',), u'and'), 2),\n",
       " (((u\"we'r\",), u'gonna'), 4),\n",
       " (((u'be',), u'releas'), 2),\n",
       " (((u'night',), '</s>'), 4),\n",
       " (((u'rt',), u'got'), 2),\n",
       " (((u'fgc',), u'top'), 4),\n",
       " (((u'ps1',), u'pad'), 2),\n",
       " (((u'get',), u'paid'), 2),\n",
       " (((u'of',), u'love'), 2),\n",
       " (((u'in',), u'me'), 2),\n",
       " (((u'broccoli',), '</s>'), 8),\n",
       " ...]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigram_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bigram_dict = defaultdict(Counter)\n",
    "trigram_dict = defaultdict(Counter)\n",
    "quadgram_dict= defaultdict(Counter) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for (((w0,),w1) , cnt) in bigram_count:\n",
    "    bigram_dict[w0][w1] = cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for (((w0, w1), w2), cnt) in trigram_count:\n",
    "    trigram_dict[(w0, w1)][w2] = cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for (((w0, w1, w2), w3), cnt) in quadgrams_count:\n",
    "    quadgram_dict[(w0, w1, w2)][w3] = cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "550"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(bigram_dict['the'].values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for key in bigram_dict:\n",
    "    total = sum(bigram_dict[key].values())\n",
    "    for val in bigram_dict[key]:\n",
    "        bigram_dict[key][val] = bigram_dict[key][val]/float(total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for key in trigram_dict:\n",
    "    total = sum(trigram_dict[key].values())\n",
    "    for val in trigram_dict[key]:\n",
    "        trigram_dict[key][val] = trigram_dict[key][val]/float(total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(u'all', u'treat', u'the')\n",
      "(u'it', u'so', u'silli')\n",
      "(u'the', u'day', u'begin')\n",
      "(u'make', u'life', u'fun')\n",
      "(u've', u'to', u'loka')\n",
      "(u'short:', u'i', u'sold')\n",
      "(u'clear', u'all', u'my')\n",
      "(u'eye', u'infect', u'bad')\n",
      "(u'world', u'of', u'pinot')\n",
      "(u'project', u'for', u'the')\n",
      "(u'asian', u'everywher', u'in')\n",
      "(u'of', u'you', u'even')\n",
      "(u'friday', u'we', u'have')\n",
      "(u'fun', u'onli', u'3')\n",
      "(u'you', u'might', u'be')\n",
      "(u'healthi', u'day', u'of')\n",
      "(u'karaok', u'in', u'japan')\n",
      "(u'get', u'the', u'new')\n",
      "(u'an', u'evil', u'moodi')\n",
      "(u'your', u'couch', u'it')\n",
      "(u'enjoy', u'the', u'hap')\n",
      "(u'bag', u'was', u'soak')\n",
      "(u'a', u'name', u'brand')\n",
      "('<s>', u'\"make', u'it')\n",
      "('<s>', u'internet:', u'*make')\n",
      "(u'fact', u'cenk', u'uygur')\n",
      "(u'blue', u'to', u'you')\n",
      "(u'have', u'the', u'energi')\n",
      "(u'about', u'her', u'new')\n",
      "(u'guy', u'\\U0001f618', u'thank')\n",
      "(u'\\U0001f3b6', u'\\u2764', u'\\ufe0f')\n",
      "(u'for', u'fun', u'again')\n",
      "(u'next', u'to', u'my')\n",
      "(u'annoy', u'voic', u'do')\n",
      "(u'review:', u'(now', u'play')\n",
      "(u'the', u'state', u'championship')\n",
      "(u'breath', u'again', u'record')\n",
      "(u'yale', u'pitcher', u'was')\n",
      "(u'the', u'women', u'team')\n",
      "(u'that', u'one', u'girl')\n",
      "(u'it', u'air', u'brilliant')\n",
      "(u\"they'r\", u'about', u'htt\\u2026')\n",
      "(u'ctmc', u'is', u'still')\n",
      "(u'page', u'look', u'forward')\n",
      "(u'milf', u'for', u'adult')\n",
      "(u'fun', u'today', u'\\U0001f918')\n",
      "(u'emte', u'dololo', u'nasti')\n",
      "(u'to', u'rememb', u'those')\n",
      "(u'will', u'be', u'fun')\n",
      "(u'i', u'notic', u'my')\n",
      "(u'fun-at', u'least', u'he')\n",
      "(u'and', u'adopt', u'everi')\n",
      "(u'paid', u'tribut', u'to')\n",
      "(u'eyebag', u'more', u'fun')\n",
      "(u'they', u'could', u'be')\n",
      "(u'good', u'screenplay', u'by')\n",
      "(u\"don't\", u'wear', u'leg')\n",
      "(u'good', u'movi', u'has')\n",
      "(u'fun', u'dure', u'the')\n",
      "(u'set', u'hope', u'this')\n",
      "(u'my', u'bodi', u'doe')\n",
      "(u'friend', u'today', u'and')\n",
      "(u'simpl', u'social', u'tactic')\n",
      "(u'at', u'6:30pm', u'with')\n",
      "(u'is', u'fun', u'as')\n",
      "(u'all', u'for', u'make')\n",
      "(u'michaelbr4dley', u'and', u'boy')\n",
      "(u'do', u'what', u'you')\n",
      "(u'sit', u'next', u'to')\n",
      "(u'rearrang', u'the', u'kitchen')\n",
      "(u'with', u'you', u'enjoy')\n",
      "(u'me-', u'i', u'hate')\n",
      "(u'the', u'ticket', u'booth')\n",
      "('<s>', u'bore', u'lone')\n",
      "(u'tabl', u'game', u'to')\n",
      "(u'by', u'all', u'at')\n",
      "(u'time', u'fli', u'when')\n",
      "('<s>', u'film', u'someth')\n",
      "('<s>', u'i', u'cannot')\n",
      "(u'i', u\"can't\", u'lie')\n",
      "('<s>', u'guy', u'make')\n",
      "(u'fun', u'to', u'be')\n",
      "(u'to', u'find', u'ou')\n",
      "(u'still', u'in', u'after')\n",
      "(u'one', u'with', u'a')\n",
      "(u'6', u'holiday', u'to')\n",
      "(u'school', u'holiday', u'again')\n",
      "(u\"can't\", u'wait', u'for')\n",
      "(u'peel', u'is', u'half')\n",
      "(u'was', u'a', u'lot')\n",
      "(u'be', u'a', u'awesom')\n",
      "(u'seuss', u'birthday', u'make')\n",
      "(u'futur', u'is', u'10x')\n",
      "('<s>', u'smfh', u'rt')\n",
      "(u'i', u'need', u'anoth')\n",
      "(u'knew', u'they', u'could')\n",
      "(u'with', u'the', u'saddest')\n",
      "(u'rate', u'\\U0001f446', u'\\u2757')\n",
      "('<s>', u'i', u'work')\n",
      "(u'submit', u'photo', u'onlin')\n",
      "(u'night', u'and', u'with')\n",
      "(u'to', u'thank', u'you')\n",
      "(u'loud', u'af', u'bc')\n",
      "(u\"i'm\", u'gonna', u'miss')\n",
      "(u'to', u'revisit', u'the')\n",
      "(u'fast-pac', u'i', u\"can't\")\n",
      "(u'damn', u'was', u'a')\n",
      "(u'100mph', u'we', u'drif')\n",
      "(u'fun', u'chat', u'w/')\n",
      "(u\"don't\", u'make', u'this')\n",
      "(u\"you'r\", u'send', u'me')\n",
      "(u'rt', u'&amp;', u'show')\n",
      "(u'my', u'bag', u'was')\n",
      "(u'fun', u'fact:', u'sonia')\n",
      "(u'to', u'see', u'them')\n",
      "(u'*physic', u'scale*', u\"i'v\")\n",
      "(u'someon', u'like', u'a')\n",
      "(u'skin', u'tone', u'they')\n",
      "(u'bad', u'back', u'pain')\n",
      "('<s>', u'happi', u'friday')\n",
      "(u'in', u'to', u'hot')\n",
      "(u'friday', u'fun', u'time')\n",
      "(u'fun', u'rainbow', u'flat')\n",
      "(u'new', u'peopl', u'nearbi')\n",
      "(u'sa', u'kilig', u'fun')\n",
      "(u'go', u'knight', u'go')\n",
      "(u'\\U0001f595', u'\\U0001f3ff', u'\\U0001f602')\n",
      "(u'lie', u'haha', u'but')\n",
      "('<s>', u'go', u'to')\n",
      "(u'the', u'pit', u'proud')\n",
      "(u\"i'll\", u'be', u'on')\n",
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      "(u'an', u'obliqu', u'sneez')\n",
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      "(u'boost', u'run', u'tonight')\n",
      "(u'get', u'to', u'see')\n",
      "(u'you', u'leav', u'cheerio')\n",
      "(u'it', u'distract', u'from')\n",
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      "(u'alway', u'win', u'and')\n",
      "(u'plus', u'18', u'20')\n",
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      "(u'for', u'some', u'fun')\n",
      "(u\"isn't\", u'quit', u'as')\n",
      "(u'sea', u'exhibit', u'at')\n",
      "('<s>', u'make', u'a')\n",
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      "('<s>', u'troy', u'had')\n",
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      "(u'soni', u'rx100', u'mk4')\n",
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      "(u'app', u'from', u'game')\n",
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      "('<s>', u'fo', u'shizzl')\n",
      "(u'for', u'our', u'mail')\n",
      "(u'fun', u'matilda', u'basketbal')\n",
      "(u'to', u'a', u'nicer')\n",
      "(u'and', u'fun', u'gameplay')\n",
      "(u'just', u'need', u'a')\n",
      "('<s>', u'hey', u'christian')\n",
      "(u'enjoy', u'play', u'potemkin')\n",
      "(u'a', u'great', u'night')\n",
      "(u'\\U0001f61c', u'\\U0001f44d', u'\\U0001f600')\n",
      "('<s>', u'crazi', u'sexi')\n",
      "('<s>', u'again', u'happi')\n",
      "(u'selfi', u'and', u'video')\n",
      "('<s>', u'urn', u'your')\n",
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      "('<s>', u'great', u'atmospher')\n",
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      "('<s>', u'\\U0001f4f7', u'wtf-fun-factss:')\n",
      "(u'all', u'fun', u'and')\n",
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      "('<s>', u'35', u'day')\n",
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      "(u'\\U0001f60a', u'\\U0001f60a', u'\\U0001f49c')\n",
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      "(u'still', u'lucki', u'u')\n",
      "(u'enjoy', u'life', u'with')\n",
      "(u'vidjah', u'this', u'time')\n",
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      "(u'head', u'on', u'down')\n",
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      "(u'not', u'now', u'hope')\n",
      "(u'is', u'in', u'town')\n",
      "('<s>', u\"i'll\", u'be')\n",
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      "(u'love', u'you', u'\\U0001f917')\n",
      "(u'and', u'special', u'thx')\n",
      "(u'user', u'with', u'the')\n",
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      "(u'age', u'rate', u'on')\n",
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      "('<s>', u'check', u'out')\n",
      "(u'truck', u'as', u'usual')\n",
      "('<s>', u'had', u'so')\n",
      "(u'say', u'get', u'taken')\n",
      "(u'is', u'onli', u'fun')\n",
      "(u'make', u'this', u'shit')\n",
      "(u'farewel', u'cake', u'for')\n",
      "(u'omg\\u3160\\u3160\\u3160', u'final', u'ohgod')\n",
      "(u'game', u'that', u'have')\n",
      "(u'episod', u'of', u'\\U0001f601')\n",
      "(u'your', u'toilet', u'get')\n",
      "(u'time', u'he', u'is')\n",
      "('<s>', u'will', u'never')\n",
      "(u'kid', u'realli', u'anderp')\n",
      "(u'of', u'what', u'happen')\n",
      "(u'best', u'fun', u'ever')\n",
      "(u'and', u'addict', u'strategi')\n",
      "('<s>', u'get', u'a')\n",
      "(u'lion', u'in', u'like')\n",
      "(u'fun', u'and', u'adventur')\n",
      "(u'a', u'$15', u'gift')\n",
      "(u'rt', u'have', u'fun')\n",
      "(u'12', u'by', u'12-inch')\n",
      "(u'\\U0001f31a', u'\\U0001f44f', u'\\U0001f31a')\n",
      "(u'do', u'it', u'to')\n",
      "(u'sorri', u'i', u'have')\n",
      "(u'like', u'slippi', u'peppi')\n",
      "('<s>', u'too', u'much')\n",
      "(u'danc', u'to', u'beyonc\\xe9')\n",
      "(u'what', u'fun', u'matilda')\n",
      "(u'much', u'fun', u'this')\n",
      "(u'readi', u'for', u'sunday')\n",
      "('<s>', u'i', u'have')\n",
      "(u'in', u'some', u'way')\n",
      "(u'to', u'come', u'down')\n",
      "(u'up', u'by', u'the')\n",
      "(u'was', u'so', u'look')\n",
      "(u'-', u'sun', u'3/27')\n",
      "(u'and', u'(when', u'your')\n",
      "(u'that', u'is', u'for')\n",
      "(u'probabl', u'gold', u'rod')\n",
      "(u'in', u'your', u'hous')\n",
      "(u'fun', u'easter', u'project')\n",
      "(u'are', u'you', u'oh')\n",
      "('<s>', u'face', u'of')\n",
      "(u'some', u'fun', u'sky')\n",
      "(u'trailer', u'\\u2014', u'a')\n",
      "(u'realiz', u'i', u'was')\n",
      "(u'drive', u'the', u'truck')\n",
      "(u'fun', u'with', u'my')\n",
      "(u'side', u'scroll', u'fun:')\n",
      "(u'weekend', u'servic', u'sat')\n",
      "(u'need', u'ppl', u'to')\n",
      "(u'for', u'had', u'so')\n",
      "(u'i', u'work', u'with')\n",
      "(u'stay', u'in', u'the')\n",
      "(u'awhil', u'ago', u'but')\n",
      "(u'probabl', u'after', u'i')\n",
      "(u'the', u'other', u'room')\n",
      "(u'want', u'to', u'live')\n",
      "(u'gonna', u'be', u'stream')\n",
      "(u'like', u'she', u'friend')\n",
      "(u'as', u'fun', u'as')\n",
      "(u\"you'r\", u'have', u'fun')\n",
      "('<s>', u'it', u'such')\n",
      "(u'of', u'holiday', u'feast')\n",
      "(u'out', u'watch', u'the')\n",
      "(u'so', u'is', u'incred')\n",
      "(u'ya', u'realli', u'enjoy')\n",
      "(u'suck', u'the', u'fun')\n",
      "(u'cotteslo', u'-', u'the')\n",
      "(u'my', u'friend', u'are')\n",
      "(u'excit', u'news', u'inde')\n",
      "(u'aww', u'thank', u'you')\n",
      "(u'photo', u'on', u'facebook')\n",
      "(u'night', u'\\u2026at', u'the')\n",
      "(u'grab', u'your', u'sweeti')\n",
      "(u'to', u'the', u'parad')\n",
      "(u'wish', u'peopl', u'understood')\n",
      "(u'let', u'the', u'fun')\n",
      "(u'folsom', u'happi', u'associ')\n",
      "(u'them', u'this', u'day')\n",
      "(u'to', u'be', u'amaz')\n",
      "(u'be', u'that', u'bad')\n",
      "('<s>', u'move', u'is')\n",
      "(u'more', u'fun', u'x')\n",
      "(u'studio', u'whos', u'\\u2026')\n",
      "(u'incred', u'badass', u\"didn't\")\n",
      "(u'fun', u'night', u'with')\n",
      "(u'do', u'you', u'have')\n",
      "(u'much', u'about', u'lookin')\n",
      "(u'in', u'the', u'spirit')\n",
      "(u'\\U0001f611', u'\\U0001f611', u'\\U0001f611')\n",
      "(u'were', u'so', u'damn')\n",
      "(u'will', u'happen', u'here')\n",
      "(u'fun', u'jeffrey', u'nathanson')\n",
      "(u\"we'd\", u'all', u'have')\n",
      "('<s>', u'have', u'some')\n",
      "(u'sort', u'you', u'out')\n",
      "(u'on', u'amazon', u'enter')\n",
      "(u'someth', u'whi', u'is')\n",
      "(u'cream', u'cool', u'we')\n",
      "(u'friday', u'what', u'fun')\n",
      "(u'fun', u'\\U0001f62d', u'\\U0001f62d')\n",
      "(u'us', u'to', u'kick')\n",
      "('<s>', u'teacher', u'help')\n",
      "(u'food', u'and', u'fun')\n",
      "(u'have', u'you', u'in')\n",
      "(u'weekend', u'\\U0001f613', u'\\U0001f613')\n",
      "(u'today', u'no', u'live')\n",
      "('<s>', u'here', u'a')\n",
      "(u'and', u\"you'r\", u'make')\n",
      "(u'has', u'some', u'of')\n",
      "(u'tobe', u'toe', u'fluff')\n",
      "(u'itali', u'around:', u'itali')\n",
      "(u'onli', u'3', u'game')\n",
      "(u'was', u'fun', u'until')\n",
      "('<s>', u'even', u'my')\n",
      "('<s>', u'his', u'is')\n",
      "(u'fun', u'crew', u'ht\\u2026')\n",
      "(u'recip', u'thank', u'to')\n",
      "(u'pretti', u'\\u2600', u'\\ufe0f')\n",
      "(u'quarter', u'4th', u'quarter')\n",
      "(u'w/@gwynethpaltrow', u'learn', u'about')\n",
      "(u'photoshoot', u'are', u'fun')\n",
      "(u'be', u'fun', u\"i'm\")\n",
      "('<s>', u'that', u'sound')\n",
      "(u'look', u'like', u'fun')\n",
      "(u'11am', u'fun', u'stuff')\n",
      "(u'go', u'through', u'with')\n",
      "(u'a', u'fun', u'sexi')\n",
      "(u'of', u'your', u'couch')\n",
      "(u'believ', u'it', u'been')\n",
      "(u'fun', u'ratchet', u'girl/')\n",
      "(u'are', u'in', u'life')\n",
      "(u'a', u'clip', u'from')\n",
      "(u'to', u'18', u'becaus')\n",
      "(u'maichardseizethemo', u'\\u2764', u'\\u2764')\n",
      "(u'more', u'fun', u'h\\u2026')\n",
      "(u'ppl', u'magic', u'know')\n",
      "(u'-', u'his', u'antic')\n",
      "(u'scratter', u'babe', u'xx')\n",
      "(u'that', u'way', u'unless')\n",
      "(u'updat', u'nalang', u'sa')\n",
      "(u'come', u'outta', u'nowher')\n",
      "(u'it', u'make', u'that')\n",
      "('<s>', u'\"@eugeneadu:', u'follow')\n",
      "(u'\\U0001f44c', u'\\U0001f3fd', u'\\U0001f497')\n",
      "(u'miss', u'play', u'for')\n",
      "(u'book', u'awesom', u'art')\n",
      "(u'like', u'to', u'suck')\n",
      "(u'to', u'guessup', u'download')\n",
      "(u'a', u'fun', u'game')\n",
      "(u'*make', u'a', u'typo*')\n",
      "(u'if', u'you', u'leav')\n",
      "(u'that', u'\\U0001f595', u'\\U0001f3ff')\n",
      "(u'want', u'to', u'do')\n",
      "(u'it', u'not', u'green')\n",
      "(u'fun', u'fact:', u'the')\n",
      "(u'it', u'grow', u'and')\n",
      "(u'rest', u'hope', u'u')\n",
      "(u'-', u'take', u'with')\n",
      "(u'to', u'me', u'onlin')\n",
      "(u'support', u'all', u'season')\n",
      "(u'in', u'over', u'half')\n",
      "(u'boy', u'readi', u'for')\n",
      "(u'that', u'would', u'be')\n",
      "(u'watch', u'everyon', u'snapchat')\n",
      "(u'my', u'phone', u'and')\n",
      "(u'the', u'fl', u'key')\n",
      "('<s>', u'my', u'shift')\n",
      "('<s>', u'a', u'helluva')\n",
      "(u'i', u'rememb', u'run')\n",
      "('<s>', u'sculptur', u'by')\n",
      "(u'fun', u'pictur', u'in')\n",
      "('<s>', u'we', u'were')\n",
      "(u'a', u'box', u'full')\n",
      "(u'in', u'vega', u'for')\n",
      "(u'time', u'to', u'step')\n",
      "(u'yeah', u'&amp;', u'too:)')\n",
      "(u'trump', u'hair', u'to')\n",
      "('<s>', u'tonight', u'we')\n",
      "(u'i', u'want', u'to')\n",
      "(u'longer', u'fun', u'now')\n",
      "(u\"we'll\", u'talk', u'adult')\n",
      "(u'thank', u'you', u'charlott')\n",
      "(u'happen', u'to', u'a')\n",
      "(u'have', u'fun', u'for')\n",
      "(u'fun', u'now', u'just')\n",
      "(u'barf', u'into', u'a')\n",
      "(u'color', u'corrector', u'sephora')\n",
      "(u'and', u'excit', u'while')\n",
      "(u'page', u'\\U0001f3a4', u'\\U0001f48b')\n",
      "(u'ident', u'clash', u'royal')\n",
      "(u'it', u'\\U0001f602', u'\\U0001f60b')\n",
      "(u'great', u'night', u'bartendinglol')\n",
      "(u'it', u'sound', u'\\U0001f61d')\n",
      "(u'best', u'respons', u';)')\n",
      "(u'to', u'watch', u'love')\n",
      "(u'to', u'be', u'rude')\n",
      "(u'to', u'emot', u'is')\n",
      "(u'get', u'off', u'unless')\n",
      "(u'it', u'fun', u'\\U0001f62d')\n",
      "(u'wallet', u'\\U0001f349', u'|')\n",
      "(u'again', u'record', u'it')\n",
      "(u'from', u'zootopia', u'to')\n",
      "(u'i', u'repli', u'back')\n",
      "(u'\"to', u'love', u'me')\n",
      "(u'sure', u'sound', u'fun')\n",
      "(u'show', u'love', u'4')\n",
      "(u'harder', u'to', u'choos')\n",
      "('<s>', u\"i'm\", u'still')\n",
      "(u'and', u'i', u'accident')\n",
      "(u'mom', u'will', u'be')\n",
      "(u'may', u'but', u'mayb')\n",
      "(u'str8', u'yass', u'\\U0001f602')\n",
      "(u'funi', u'got', u'to')\n",
      "(u'between', u'the', u'cushion')\n",
      "(u'the', u'intro', u'to')\n",
      "(u'whenev', u\"i'm\", u'alon')\n",
      "('<s>', u'mani', u'peopl')\n",
      "(u'some', u'fun', u'in')\n",
      "(u\"i'm\", u'still', u'in')\n",
      "(u'by', u'the', u'sea')\n",
      "(u'i', u'enjoy', u'this')\n",
      "(u'video', u'from', u'help')\n",
      "(u'game', u'until', u'your')\n",
      "(u'are', u'in', u'your')\n",
      "(u'the', u'idol', u'and')\n",
      "(u'fun-tim', u'world\"', u'extend')\n",
      "(u'newli', u'releas', u'vinyl')\n",
      "('<s>', u'want', u'to')\n",
      "(u'scrrame', u'i', u'cant')\n",
      "(u'who', u'use', u'ipad')\n",
      "(u'400+', u'rev', u'h\\u2026')\n",
      "(u'you', u'\\u2764', u'\\ufe0f')\n",
      "(u'seen', u'that', u\"must'v\")\n",
      "(u'to', u'refresh', u'my')\n",
      "(u'fool', u'after', u'scho\\u2026')\n",
      "(u'start', u'out', u'but')\n",
      "(u'3/27', u'9', u'&amp;')\n",
      "(u'all', u'love', u'pleas')\n",
      "(u'but', u\"i'v\", u'heard')\n",
      "(u'load', u'of', u'fun')\n",
      "(u'have', u'fun', u'this')\n",
      "(u'fun', u\"y'all\", u'be')\n",
      "(u'watch', u'the', u'mass')\n",
      "(u'a', u'connect', u'for')\n",
      "(u'fun', u'new', u'peopl')\n",
      "(u'if', u'i', u'can')\n",
      "(u'today', u'with', u'dalek')\n",
      "(u'kitchen', u'cabinet', u'with')\n",
      "(u'play', u'with', u'in')\n",
      "(u'love', u'you', u'can')\n",
      "(u'friday', u'fun', u'quiz')\n",
      "(u'heard', u'so', u'much')\n",
      "(u'car', u'parade;', u'gonna')\n",
      "(u'this', u'real', u'cool')\n",
      "(u'30', u'million', u'lawyer')\n",
      "(u'sun', u'which', u'i')\n",
      "(u'hell', u'i', u'wish')\n",
      "(u'atlant', u'citi', u'fun')\n",
      "(u'nate', u'\\U0001f64c', u'\\U0001f3fb')\n",
      "(u'on', u'my', u'first')\n",
      "(u'yet', u'someth', u'in')\n",
      "(u'1000s', u'of', u'who')\n",
      "(u'contact', u'me', u'for')\n",
      "(u'visit', u'onc', u'a')\n",
      "(u'gotta', u'have', u'so')\n",
      "(u'so', u'fun', u'all')\n",
      "(u'interact', u'game', u'book')\n",
      "(u'we', u'all', u'know')\n",
      "(u'has', u'a', u'group')\n",
      "(u'they', u'suck', u'at')\n",
      "(u'fun', u'and', u'crazi')\n",
      "(u'seri', u'with', u'the')\n",
      "(u'fun', u'than', u'senior')\n",
      "(u'help', u'put', u'on')\n",
      "(u'clean', u'fast-pac', u'i')\n",
      "(u'onli', u'22', u'the')\n",
      "(u'bummer', u'alway', u'fun')\n",
      "(u'pretti', u'i', u'have')\n",
      "(u'a', u'fade', u'knife')\n",
      "('<s>', u'what', u'a')\n",
      "(u\"i'm\", u'come', u'to')\n",
      "(u'at', u'cpac', u'is')\n",
      "(u'be', u'kind', u'to')\n",
      "(u'sesam', u'street', u'paid')\n",
      "(u'out', u'of', u'context-us')\n",
      "(u'troubl', u'have', u'fun')\n",
      "(u'when', u'someon', u'text')\n",
      "(u'fun', u'to', u'look')\n",
      "(u'\\U0001f60d', u'check', u'out')\n",
      "(u'preview:', u\"don't\", u'repeat\"')\n",
      "(u'\\ufe0f', u'\\U0001f60e', u'\\U0001f41f')\n",
      "(u'to', u'watch', u'not')\n",
      "(u'bro', u'show', u'out')\n",
      "(u'fun', u'rawdograw', u'teflontwuan')\n",
      "(u'you', u'unblock', u'me')\n",
      "(u'kiss', u'ars', u'an')\n",
      "(u'a', u'great', u'time')\n",
      "('<s>', u'rec', u'moba')\n",
      "(u'a', u'fun', u'languag')\n",
      "('<s>', u'oday', u'is')\n",
      "('<s>', u'pretti', u'sure')\n",
      "(u\"don't\", u'have', u'to')\n",
      "('<s>', u'show', u'up')\n",
      "(u'antic', u'&amp;', u'view')\n",
      "('<s>', u'my', u'confid')\n",
      "(u'one', u'girl', u'stalk')\n",
      "(u'blue', u'plus', u'18')\n",
      "(u'lunch', u\"wasn't\", u'a')\n",
      "(u'while', u'get', u'thing')\n",
      "(u'it', u'more', u'fun')\n",
      "(u'out', u'with', u'famili')\n",
      "(u'the', u'beach', u'for')\n",
      "(u'fun', u'at', u'mariposa')\n",
      "(u'me', u'and', u'vj')\n",
      "(u'so', u'so', u'so')\n",
      "(u'new', u'book--which', u\"isn't\")\n",
      "(u'okkinderhook', u'(@okkinderhook):', u'super')\n",
      "('<s>', u'lol', u'twitter')\n",
      "(u'up', u'with', u'this')\n",
      "(u'is', u'my', u'3rd')\n",
      "(u'our', u'australian', u'friend')\n",
      "(u'take', u'me', u'30')\n",
      "(u'fun', u\"can't\", u'wait')\n",
      "(u'go', u'viral', u'oh')\n",
      "(u'to', u'play', u'tell')\n",
      "(u\"i'm\", u'suppos', u'to')\n",
      "(u'be', u'good', u'practic')\n",
      "(u'of', u'cours', u'ion')\n",
      "('<s>', u'school', u'spirit')\n",
      "(u'the', u'scene', u'of')\n",
      "(u'my', u'grandma', u'and')\n",
      "(u'today', u\"i'm\", u'have')\n",
      "(u'got', u'to', u'hangout')\n",
      "(u'fun', u'steam', u'game')\n",
      "(u'fun', u'when', u'go')\n",
      "(u'now', u'you', u'unblock')\n",
      "(u'you', u'at', u'home')\n",
      "(u'too', u'much', u'for')\n",
      "(u'the', u'anim', u'shelter')\n",
      "(u'\\U0001f600', u'\\U0001f600', u'fun')\n",
      "(u'lead', u'a', u'differ')\n",
      "(u'ya', u'i', u'had')\n",
      "(u'treat', u'the', u'same')\n",
      "(u'be', u'fun', u'come')\n",
      "(u'4', u'=', u'longest')\n",
      "(u'\\U0001f409', u'\\U0001f432', u'\\U0001f525')\n",
      "(u'start', u'now', u'forza')\n",
      "('<s>', u'some', u'random')\n",
      "(u'so', u'fun', u'make')\n",
      "(u'\\U0001f602', u'\\U0001f602', u'\\U0001f602')\n",
      "(u'sam', u'goody/fy', u'et/c')\n",
      "(u'you', u'two', u'have')\n",
      "(u'all', u'her', u'damn')\n",
      "(u'cam', u'now', u'more')\n",
      "(u'sculptur', u'by', u'the')\n",
      "(u'choral', u'acadienn', u'singer')\n",
      "(u'to', u'use', u'the')\n",
      "(u'again', u'and', u'you')\n",
      "(u'time', u'\\U0001f44d', u'\\U0001f609')\n",
      "(u'get', u'those', u'time')\n",
      "(u'fight', u'breakdown/dick', u'talk')\n",
      "(u'and', u'visitor', u'pose')\n",
      "(u'relay', u'quit', u'fun')\n",
      "(u'get', u'into', u'for')\n",
      "(u'each', u'day', u'3pm')\n",
      "('<s>', u'also', u'i')\n",
      "(u'i', u'ran', u'a')\n",
      "(u'down', u'for', u'craft')\n",
      "('<s>', u'lol', u'now')\n",
      "(u'have', u'fun', u'suck')\n",
      "(u'see', u'them', u'but')\n",
      "(u'for', u'posh', u'fun')\n",
      "(u'hockey', u'team', u'are')\n",
      "(u'someth', u'to', u'send')\n",
      "(u'are', u'pack', u'w/')\n"
     ]
    }
   ],
   "source": [
    "for key in quadgram_dict:\n",
    "    print key\n",
    "    total = sum(quadgram_dict[key].values())\n",
    "    for val in quadgram_dict[key]:\n",
    "        quadgram_dict[key][val] = quadgram_dict[key][val]/float(total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "IndentationError",
     "evalue": "expected an indented block (<ipython-input-158-e1608a61e2ba>, line 11)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-158-e1608a61e2ba>\"\u001b[1;36m, line \u001b[1;32m11\u001b[0m\n\u001b[1;33m    if tuple(token[-3:]) in quadgram_dict:\u001b[0m\n\u001b[1;37m     ^\u001b[0m\n\u001b[1;31mIndentationError\u001b[0m\u001b[1;31m:\u001b[0m expected an indented block\n"
     ]
    }
   ],
   "source": [
    "def predict(strings):\n",
    "    \n",
    "    token = emoji_preprocess(strings, True)\n",
    "    \n",
    "    alpha1 ,alpha2, alpha3 = (1/3, 1/3, 1/3)\n",
    "    \n",
    "    if token[-1:][0] in bigram_dict:\n",
    "\n",
    "    if tuple(token[-2:]) in trigram_dict:\n",
    "\n",
    "    if tuple(token[-3:]) in quadgram_dict:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "proc_str = emoji_preprocess('are you', predict=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({u'guy': 0.5, u'oh': 0.5})"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if tuple(proc_str[-2:]) in trigram_dict:\n",
    "    print trigram_dict[tuple(proc_str[-2:])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quadgram_dict[tuple(proc_str[-3:])].most_common()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "total = bigram_dict[proc_str[-1:][0]] + quadgram_dict[tuple(proc_str[-3:])] + trigram_dict[tuple(proc_str[-2:])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "if tuple(proc_str[-3:]) in quadgram_dict:\n",
    "    xx =  quadgram_dict[tuple(proc_str[-3:])].most_common()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "if proc_str[-1:][0] in bigram_dict:\n",
    "    yy = trigram_dict[tuple(proc_str[-1:][0])]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "zz = defaultdict(Counter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "zz['test']['tt']= 3\n",
    "zz['test']['xx']= 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zz['tests'].most_common()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Count num tweets\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "730980"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc.textFile('/home/han/Documents/Github/emoji_predictor/data/twitter_dump.txt').filter(lambda x: len(x)>1 and 'created_at' in x).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'REGEX' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-66-a0f640b8da34>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mREGEX\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'REGEX' is not defined"
     ]
    }
   ],
   "source": [
    "REGEX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from textblob import TextBlob"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Testing word2vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open('/home/han/.api_key/awsaccesskey.json') as f:\n",
    "    key= json.load(f)\n",
    "    \n",
    "    access= key['access-key']\n",
    "    secret = key['secret-access-key']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = sc.textFile('s3n://'+access+':'+secret +'@han.tweets.bucket/tweet/*/*/*.bz2')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pyspark.mllib.feature import Word2Vec\n",
    "word2vec = Word2Vec()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "w2v = word2vec.fit(tweets_tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💖\n"
     ]
    }
   ],
   "source": [
    "print w2v.findSynonyms('you',10)[5][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🇽\n"
     ]
    }
   ],
   "source": [
    "print u'\\U0001f1fd'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Big Tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open('/home/han/.api_key/awsaccesskey.json') as f:\n",
    "    key= json.load(f)\n",
    "    \n",
    "    access= key['access-key']\n",
    "    secret = key['secret-access-key']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "data1= sc.textFile('s3n://'+access+':'+secret +'@han.tweets.bucket/tweets/01/00/04.json.bz2')\n",
    "data2= sc.textFile('s3n://'+access+':'+secret +'@han.tweets.bucket/tweets/01/00/06.json.bz2')\n",
    "data3= sc.textFile('s3n://'+access+':'+secret +'@han.tweets.bucket/tweets/01/00/05.json.bz2')\n",
    "data4= sc.textFile('s3n://'+access+':'+secret +'@han.tweets.bucket/tweets/01/00/07.json.bz2')\n",
    "\n",
    "data = data1.union(data3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "big_tweet = data.union(data2).filter(lambda tw: len(tw)>1)\\\n",
    ".filter(lambda tw: 'created_at' in tw)\\\n",
    ".map(tweet_process)\\\n",
    ".filter(lambda tw: tw != None)\\\n",
    ".map(lambda tw: tw['text'].lower() )\\\n",
    ".map(emoji_preprocess)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = data.union(data3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "322"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.union(data2).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "Py4JJavaError",
     "evalue": "An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n: org.apache.hadoop.fs.s3.S3Exception: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>E97A99B853C5EFD2</RequestId><HostId>fk7+Jj/8BLNwE4aPBBq/9sxwA0gsizXszhpDVHP7TNkOnVg/3mGWdFn/l0B2treBU3VhH1zu9Cw=</HostId></Error>\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.handleServiceException(Jets3tNativeFileSystemStore.java:229)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:169)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:146)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:140)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)\n\tat org.apache.hadoop.fs.s3native.$Proxy13.list(Unknown Source)\n\tat org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:376)\n\tat org.apache.hadoop.fs.FileSystem.getFileStatus(FileSystem.java:1397)\n\tat org.apache.hadoop.fs.FileSystem.globStatusInternal(FileSystem.java:1066)\n\tat org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1007)\n\tat org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:177)\n\tat org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)\n\tat org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)\n\tat org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:316)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:926)\n\tat org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)\n\tat org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)\n\tat py4j.Gateway.invoke(Gateway.java:259)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.GatewayConnection.run(GatewayConnection.java:209)\n\tat java.lang.Thread.run(Thread.java:745)\nCaused by: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>E97A99B853C5EFD2</RequestId><HostId>fk7+Jj/8BLNwE4aPBBq/9sxwA0gsizXszhpDVHP7TNkOnVg/3mGWdFn/l0B2treBU3VhH1zu9Cw=</HostId></Error>\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:416)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRestGet(RestS3Service.java:752)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsInternal(RestS3Service.java:1117)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsChunkedImpl(RestS3Service.java:1087)\n\tat org.jets3t.service.S3Service.listObjectsChunked(S3Service.java:1488)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:156)\n\t... 49 more\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mPy4JJavaError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-83-fad350352fac>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0md\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mcount\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1002\u001b[0m         \u001b[1;36m3\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1003\u001b[0m         \"\"\"\n\u001b[1;32m-> 1004\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1005\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1006\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mstats\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36msum\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    993\u001b[0m         \u001b[1;36m6.0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    994\u001b[0m         \"\"\"\n\u001b[1;32m--> 995\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfold\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moperator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    996\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    997\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mfold\u001b[1;34m(self, zeroValue, op)\u001b[0m\n\u001b[0;32m    867\u001b[0m         \u001b[1;31m# zeroValue provided to each partition is unique from the one provided\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    868\u001b[0m         \u001b[1;31m# to the final reduce call\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 869\u001b[1;33m         \u001b[0mvals\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    870\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mreduce\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvals\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mzeroValue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    871\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mcollect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    769\u001b[0m         \"\"\"\n\u001b[0;32m    770\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mSCCallSiteSync\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontext\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mcss\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 771\u001b[1;33m             \u001b[0mport\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mctx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jvm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPythonRDD\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollectAndServe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jrdd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrdd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    772\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_load_from_socket\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jrdd_deserializer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    773\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/han/anaconda2/lib/python2.7/site-packages/py4j/java_gateway.pyc\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args)\u001b[0m\n\u001b[0;32m    833\u001b[0m         \u001b[0manswer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgateway_client\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    834\u001b[0m         return_value = get_return_value(\n\u001b[1;32m--> 835\u001b[1;33m             answer, self.gateway_client, self.target_id, self.name)\n\u001b[0m\u001b[0;32m    836\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    837\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mtemp_arg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mtemp_args\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/han/anaconda2/lib/python2.7/site-packages/py4j/protocol.pyc\u001b[0m in \u001b[0;36mget_return_value\u001b[1;34m(answer, gateway_client, target_id, name)\u001b[0m\n\u001b[0;32m    308\u001b[0m                 raise Py4JJavaError(\n\u001b[0;32m    309\u001b[0m                     \u001b[1;34m\"An error occurred while calling {0}{1}{2}.\\n\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 310\u001b[1;33m                     format(target_id, \".\", name), value)\n\u001b[0m\u001b[0;32m    311\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    312\u001b[0m                 raise Py4JError(\n",
      "\u001b[1;31mPy4JJavaError\u001b[0m: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n: org.apache.hadoop.fs.s3.S3Exception: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>E97A99B853C5EFD2</RequestId><HostId>fk7+Jj/8BLNwE4aPBBq/9sxwA0gsizXszhpDVHP7TNkOnVg/3mGWdFn/l0B2treBU3VhH1zu9Cw=</HostId></Error>\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.handleServiceException(Jets3tNativeFileSystemStore.java:229)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:169)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:146)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:140)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)\n\tat org.apache.hadoop.fs.s3native.$Proxy13.list(Unknown Source)\n\tat org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:376)\n\tat org.apache.hadoop.fs.FileSystem.getFileStatus(FileSystem.java:1397)\n\tat org.apache.hadoop.fs.FileSystem.globStatusInternal(FileSystem.java:1066)\n\tat org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1007)\n\tat org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:177)\n\tat org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)\n\tat org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)\n\tat org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:316)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:926)\n\tat org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)\n\tat org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)\n\tat py4j.Gateway.invoke(Gateway.java:259)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.GatewayConnection.run(GatewayConnection.java:209)\n\tat java.lang.Thread.run(Thread.java:745)\nCaused by: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>E97A99B853C5EFD2</RequestId><HostId>fk7+Jj/8BLNwE4aPBBq/9sxwA0gsizXszhpDVHP7TNkOnVg/3mGWdFn/l0B2treBU3VhH1zu9Cw=</HostId></Error>\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:416)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRestGet(RestS3Service.java:752)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsInternal(RestS3Service.java:1117)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsChunkedImpl(RestS3Service.java:1087)\n\tat org.jets3t.service.S3Service.listObjectsChunked(S3Service.java:1488)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:156)\n\t... 49 more\n"
     ]
    }
   ],
   "source": [
    "d.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "Py4JJavaError",
     "evalue": "An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n: org.apache.hadoop.fs.s3.S3Exception: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>DA67AF39FB7ACB8E</RequestId><HostId>mK+8ejxC4YJJKGvnDe22Oz/rrfjPSE0Q0hqekrNS0GfOnkpxPDz+Pxo8LMH9henQtewAF2LfGHc=</HostId></Error>\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.handleServiceException(Jets3tNativeFileSystemStore.java:229)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:169)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:146)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:140)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)\n\tat org.apache.hadoop.fs.s3native.$Proxy13.list(Unknown Source)\n\tat org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:376)\n\tat org.apache.hadoop.fs.FileSystem.getFileStatus(FileSystem.java:1397)\n\tat org.apache.hadoop.fs.FileSystem.globStatusInternal(FileSystem.java:1066)\n\tat org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1007)\n\tat org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:177)\n\tat org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)\n\tat org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)\n\tat org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:316)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:926)\n\tat org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)\n\tat org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)\n\tat sun.reflect.GeneratedMethodAccessor49.invoke(Unknown Source)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)\n\tat py4j.Gateway.invoke(Gateway.java:259)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.GatewayConnection.run(GatewayConnection.java:209)\n\tat java.lang.Thread.run(Thread.java:745)\nCaused by: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>DA67AF39FB7ACB8E</RequestId><HostId>mK+8ejxC4YJJKGvnDe22Oz/rrfjPSE0Q0hqekrNS0GfOnkpxPDz+Pxo8LMH9henQtewAF2LfGHc=</HostId></Error>\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:416)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRestGet(RestS3Service.java:752)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsInternal(RestS3Service.java:1117)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsChunkedImpl(RestS3Service.java:1087)\n\tat org.jets3t.service.S3Service.listObjectsChunked(S3Service.java:1488)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:156)\n\t... 48 more\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mPy4JJavaError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-90-20bfef7d986a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtextFile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m's3n://AKIAJAARWQ57D4HCBHRQ:7xdG1e4BPcEmX4EfyGIjMiSJjxyKvnSXnWGYNALm@han.tweets/01/00/05.json.bz2'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mcount\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1002\u001b[0m         \u001b[1;36m3\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1003\u001b[0m         \"\"\"\n\u001b[1;32m-> 1004\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1005\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1006\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mstats\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36msum\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    993\u001b[0m         \u001b[1;36m6.0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    994\u001b[0m         \"\"\"\n\u001b[1;32m--> 995\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfold\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moperator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    996\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    997\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mfold\u001b[1;34m(self, zeroValue, op)\u001b[0m\n\u001b[0;32m    867\u001b[0m         \u001b[1;31m# zeroValue provided to each partition is unique from the one provided\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    868\u001b[0m         \u001b[1;31m# to the final reduce call\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 869\u001b[1;33m         \u001b[0mvals\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    870\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mreduce\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvals\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mzeroValue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    871\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mcollect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    769\u001b[0m         \"\"\"\n\u001b[0;32m    770\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mSCCallSiteSync\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontext\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mcss\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 771\u001b[1;33m             \u001b[0mport\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mctx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jvm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPythonRDD\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollectAndServe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jrdd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrdd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    772\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_load_from_socket\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jrdd_deserializer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    773\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/han/anaconda2/lib/python2.7/site-packages/py4j/java_gateway.pyc\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args)\u001b[0m\n\u001b[0;32m    833\u001b[0m         \u001b[0manswer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgateway_client\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    834\u001b[0m         return_value = get_return_value(\n\u001b[1;32m--> 835\u001b[1;33m             answer, self.gateway_client, self.target_id, self.name)\n\u001b[0m\u001b[0;32m    836\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    837\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mtemp_arg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mtemp_args\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/han/anaconda2/lib/python2.7/site-packages/py4j/protocol.pyc\u001b[0m in \u001b[0;36mget_return_value\u001b[1;34m(answer, gateway_client, target_id, name)\u001b[0m\n\u001b[0;32m    308\u001b[0m                 raise Py4JJavaError(\n\u001b[0;32m    309\u001b[0m                     \u001b[1;34m\"An error occurred while calling {0}{1}{2}.\\n\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 310\u001b[1;33m                     format(target_id, \".\", name), value)\n\u001b[0m\u001b[0;32m    311\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    312\u001b[0m                 raise Py4JError(\n",
      "\u001b[1;31mPy4JJavaError\u001b[0m: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n: org.apache.hadoop.fs.s3.S3Exception: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>DA67AF39FB7ACB8E</RequestId><HostId>mK+8ejxC4YJJKGvnDe22Oz/rrfjPSE0Q0hqekrNS0GfOnkpxPDz+Pxo8LMH9henQtewAF2LfGHc=</HostId></Error>\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.handleServiceException(Jets3tNativeFileSystemStore.java:229)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:169)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:146)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:140)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)\n\tat org.apache.hadoop.fs.s3native.$Proxy13.list(Unknown Source)\n\tat org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:376)\n\tat org.apache.hadoop.fs.FileSystem.getFileStatus(FileSystem.java:1397)\n\tat org.apache.hadoop.fs.FileSystem.globStatusInternal(FileSystem.java:1066)\n\tat org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1007)\n\tat org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:177)\n\tat org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)\n\tat org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)\n\tat org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:316)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:926)\n\tat org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)\n\tat org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)\n\tat sun.reflect.GeneratedMethodAccessor49.invoke(Unknown Source)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)\n\tat py4j.Gateway.invoke(Gateway.java:259)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.GatewayConnection.run(GatewayConnection.java:209)\n\tat java.lang.Thread.run(Thread.java:745)\nCaused by: org.jets3t.service.S3ServiceException: S3 GET failed for '/' XML Error Message: <?xml version=\"1.0\" encoding=\"UTF-8\"?><Error><Code>NoSuchBucket</Code><Message>The specified bucket does not exist</Message><BucketName>han.tweets</BucketName><RequestId>DA67AF39FB7ACB8E</RequestId><HostId>mK+8ejxC4YJJKGvnDe22Oz/rrfjPSE0Q0hqekrNS0GfOnkpxPDz+Pxo8LMH9henQtewAF2LfGHc=</HostId></Error>\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:416)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.performRestGet(RestS3Service.java:752)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsInternal(RestS3Service.java:1117)\n\tat org.jets3t.service.impl.rest.httpclient.RestS3Service.listObjectsChunkedImpl(RestS3Service.java:1087)\n\tat org.jets3t.service.S3Service.listObjectsChunked(S3Service.java:1488)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.list(Jets3tNativeFileSystemStore.java:156)\n\t... 48 more\n"
     ]
    }
   ],
   "source": [
    "sc.textFile('s3n://AKIAJAARWQ57D4HCBHRQ:7xdG1e4BPcEmX4EfyGIjMiSJjxyKvnSXnWGYNALm@han.tweets/01/00/05.json.bz2').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'access' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-c2cf7a4bc8aa>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_bucket\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'han.tweets.bucket'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_all_keys\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m     \u001b[1;32mprint\u001b[0m \u001b[0mi\u001b[0m \u001b[1;33m,\u001b[0m\u001b[1;34m's3n://'\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0maccess\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;34m':'\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0msecret\u001b[0m \u001b[1;33m+\u001b[0m\u001b[1;34m'@han.'\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      9\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mi\u001b[0m \u001b[1;33m==\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m         \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtextFile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m's3n://'\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0maccess\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;34m':'\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0msecret\u001b[0m \u001b[1;33m+\u001b[0m\u001b[1;34m'@han.tweets.bucket/'\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'access' is not defined"
     ]
    }
   ],
   "source": [
    "import ssl\n",
    "import boto\n",
    "if hasattr(ssl, '_create_unverified_context'):\n",
    "   ssl._create_default_https_context = ssl._create_unverified_context\n",
    "conn = boto.connect_s3()\n",
    "b = conn.get_bucket('han.tweets.bucket')\n",
    "for i, key in enumerate(b.get_all_keys()):\n",
    "    print i ,'s3n://'+access+':'+secret +'@han.'+key.name\n",
    "    if i ==0:\n",
    "        data = sc.textFile('s3n://'+access+':'+secret +'@han.tweets.bucket/'+key.name)\n",
    "    if i == 20:\n",
    "        break\n",
    "    else:\n",
    "        temp_data = sc.textFile('s3n://'+access+':'+secret +'@han.'+key.name)\n",
    "        data = data.union(data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9664"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "zz = b.get_all_keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tweets =  data\\\n",
    ".filter(lambda tw: len(tw)>1)\\\n",
    ".filter(lambda tw: 'created_at' in tw)\\\n",
    ".map(tweet_process)\\\n",
    ".filter(lambda tw: tw != None)\\\n",
    ".map(lambda tw: tw['text'].lower() )\\\n",
    ".count()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3584"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'sc' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m/home/han/Documents/Github/emoji_predictor/tweet_parse.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m    286\u001b[0m     \u001b[1;31m# sc = SparkContext()\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    287\u001b[0m     \u001b[1;31m# data = get_data(sc)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 288\u001b[1;33m     \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtextFile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'data/twitter_dump.txt'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    289\u001b[0m     \u001b[0mWP\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mWordPredictor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    290\u001b[0m     \u001b[0mWP\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'sc' is not defined"
     ]
    }
   ],
   "source": [
    "run tweet_parse.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = sc.textFile('data/twitter_dump.txt')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from tweet_parse import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "def emoji_list():\n",
    "    df_emoji = pd.read_csv('data/emoji_table.txt', encoding='utf-8', index_col=0)\n",
    "    df_emoji['count']=0\n",
    "    emoji_dict = df_emoji['count'].to_dict()\n",
    "\n",
    "    df_div_emoji = pd.read_csv('data/diversity_table.txt', encoding='utf-8', index_col=0)\n",
    "    df_div_emoji['count'] = 0\n",
    "    div_emoji_keys = df_div_emoji['count'].to_dict().keys()\n",
    "    human_emoji = list(set([ list(emoji)[0] for emoji in div_emoji_keys]))\n",
    "\n",
    "    return emoji_dict.keys()+human_emoji\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "class WordPredictor(object):\n",
    "\n",
    "    def __init__(self):\n",
    "        # set up stemming agent\n",
    "        self.snowball = SnowballStemmer('english')\n",
    "        # list of emoji\n",
    "        self.emoji_list = emoji_list()\n",
    "\n",
    "        # REGEX for finding emoji\n",
    "        self.REGEX = u\"[\\U00002712\\U00002714\\U00002716\\U0000271d\\U00002721\\U00002728\\U00002733\\U00002734\\U00002744\\U00002747\\U0000274c\\U0000274e\\U00002753-\\U00002755\\U00002757\\U00002763\\U00002764\\U00002795-\\U00002797\\U000027a1\\U000027b0\\U000027bf\\U00002934\\U00002935\\U00002b05-\\U00002b07\\U00002b1b\\U00002b1c\\U00002b50\\U00002b55\\U00003030\\U0000303d\\U0001f004\\U0001f0cf\\U0001f170\\U0001f171\\U0001f17e\\U0001f17f\\U0001f18e\\U0001f191-\\U0001f19a\\U0001f201\\U0001f202\\U0001f21a\\U0001f22f\\U0001f232-\\U0001f23a\\U0001f250\\U0001f251\\U0001f300-\\U0001f321\\U0001f324-\\U0001f393\\U0001f396\\U0001f397\\U0001f399-\\U0001f39b\\U0001f39e-\\U0001f3f0\\U0001f3f3-\\U0001f3f5\\U0001f3f7-\\U0001f4fd\\U0001f4ff-\\U0001f53d\\U0001f549-\\U0001f54e\\U0001f550-\\U0001f567\\U0001f56f\\U0001f570\\U0001f573-\\U0001f579\\U0001f587\\U0001f58a-\\U0001f58d\\U0001f590\\U0001f595\\U0001f596\\U0001f5a5\\U0001f5a8\\U0001f5b1\\U0001f5b2\\U0001f5bc\\U0001f5c2-\\U0001f5c4\\U0001f5d1-\\U0001f5d3\\U0001f5dc-\\U0001f5de\\U0001f5e1\\U0001f5e3\\U0001f5ef\\U0001f5f3\\U0001f5fa-\\U0001f64f\\U0001f680-\\U0001f6c5\\U0001f6cb-\\U0001f6d0\\U0001f6e0-\\U0001f6e5\\U0001f6e9\\U0001f6eb\\U0001f6ec\\U0001f6f0\\U0001f6f3\\U0001f910-\\U0001f918\\U0001f980-\\U0001f984\\U0001f9c0\\U00003297\\U00003299\\U000000a9\\U000000ae\\U0000203c\\U00002049\\U00002122\\U00002139\\U00002194-\\U00002199\\U000021a9\\U000021aa\\U0000231a\\U0000231b\\U00002328\\U00002388\\U000023cf\\U000023e9-\\U000023f3\\U000023f8-\\U000023fa\\U000024c2\\U000025aa\\U000025ab\\U000025b6\\U000025c0\\U000025fb-\\U000025fe\\U00002600-\\U00002604\\U0000260e\\U00002611\\U00002614\\U00002615\\U00002618\\U0000261d\\U00002620\\U00002622\\U00002623\\U00002626\\U0000262a\\U0000262e\\U0000262f\\U00002638-\\U0000263a\\U00002648-\\U00002653\\U00002660\\U00002663\\U00002665\\U00002666\\U00002668\\U0000267b\\U0000267f\\U00002692-\\U00002694\\U00002696\\U00002697\\U00002699\\U0000269b\\U0000269c\\U000026a0\\U000026a1\\U000026aa\\U000026ab\\U000026b0\\U000026b1\\U000026bd\\U000026be\\U000026c4\\U000026c5\\U000026c8\\U000026ce\\U000026cf\\U000026d1\\U000026d3\\U000026d4\\U000026e9\\U000026ea\\U000026f0-\\U000026f5\\U000026f7-\\U000026fa\\U000026fd\\U00002702\\U00002705\\U00002708-\\U0000270d\\U0000270f]|[#]\\U000020e3|[*]\\U000020e3|[0]\\U000020e3|[1]\\U000020e3|[2]\\U000020e3|[3]\\U000020e3|[4]\\U000020e3|[5]\\U000020e3|[6]\\U000020e3|[7]\\U000020e3|[8]\\U000020e3|[9]\\U000020e3|\\U0001f1e6[\\U0001f1e8-\\U0001f1ec\\U0001f1ee\\U0001f1f1\\U0001f1f2\\U0001f1f4\\U0001f1f6-\\U0001f1fa\\U0001f1fc\\U0001f1fd\\U0001f1ff]|\\U0001f1e7[\\U0001f1e6\\U0001f1e7\\U0001f1e9-\\U0001f1ef\\U0001f1f1-\\U0001f1f4\\U0001f1f6-\\U0001f1f9\\U0001f1fb\\U0001f1fc\\U0001f1fe\\U0001f1ff]|\\U0001f1e8[\\U0001f1e6\\U0001f1e8\\U0001f1e9\\U0001f1eb-\\U0001f1ee\\U0001f1f0-\\U0001f1f5\\U0001f1f7\\U0001f1fa-\\U0001f1ff]|\\U0001f1e9[\\U0001f1ea\\U0001f1ec\\U0001f1ef\\U0001f1f0\\U0001f1f2\\U0001f1f4\\U0001f1ff]|\\U0001f1ea[\\U0001f1e6\\U0001f1e8\\U0001f1ea\\U0001f1ec\\U0001f1ed\\U0001f1f7-\\U0001f1fa]|\\U0001f1eb[\\U0001f1ee-\\U0001f1f0\\U0001f1f2\\U0001f1f4\\U0001f1f7]|\\U0001f1ec[\\U0001f1e6\\U0001f1e7\\U0001f1e9-\\U0001f1ee\\U0001f1f1-\\U0001f1f3\\U0001f1f5-\\U0001f1fa\\U0001f1fc\\U0001f1fe]|\\U0001f1ed[\\U0001f1f0\\U0001f1f2\\U0001f1f3\\U0001f1f7\\U0001f1f9\\U0001f1fa]|\\U0001f1ee[\\U0001f1e8-\\U0001f1ea\\U0001f1f1-\\U0001f1f4\\U0001f1f6-\\U0001f1f9]|\\U0001f1ef[\\U0001f1ea\\U0001f1f2\\U0001f1f4\\U0001f1f5]|\\U0001f1f0[\\U0001f1ea\\U0001f1ec-\\U0001f1ee\\U0001f1f2\\U0001f1f3\\U0001f1f5\\U0001f1f7\\U0001f1fc\\U0001f1fe\\U0001f1ff]|\\U0001f1f1[\\U0001f1e6-\\U0001f1e8\\U0001f1ee\\U0001f1f0\\U0001f1f7-\\U0001f1fb\\U0001f1fe]|\\U0001f1f2[\\U0001f1e6\\U0001f1e8-\\U0001f1ed\\U0001f1f0-\\U0001f1ff]|\\U0001f1f3[\\U0001f1e6\\U0001f1e8\\U0001f1ea-\\U0001f1ec\\U0001f1ee\\U0001f1f1\\U0001f1f4\\U0001f1f5\\U0001f1f7\\U0001f1fa\\U0001f1ff]|\\U0001f1f4\\U0001f1f2|\\U0001f1f5[\\U0001f1e6\\U0001f1ea-\\U0001f1ed\\U0001f1f0-\\U0001f1f3\\U0001f1f7-\\U0001f1f9\\U0001f1fc\\U0001f1fe]|\\U0001f1f6\\U0001f1e6|\\U0001f1f7[\\U0001f1ea\\U0001f1f4\\U0001f1f8\\U0001f1fa\\U0001f1fc]|\\U0001f1f8[\\U0001f1e6-\\U0001f1ea\\U0001f1ec-\\U0001f1f4\\U0001f1f7-\\U0001f1f9\\U0001f1fb\\U0001f1fd-\\U0001f1ff]|\\U0001f1f9[\\U0001f1e6\\U0001f1e8\\U0001f1e9\\U0001f1eb-\\U0001f1ed\\U0001f1ef-\\U0001f1f4\\U0001f1f7\\U0001f1f9\\U0001f1fb\\U0001f1fc\\U0001f1ff]|\\U0001f1fa[\\U0001f1e6\\U0001f1ec\\U0001f1f2\\U0001f1f8\\U0001f1fe\\U0001f1ff]|\\U0001f1fb[\\U0001f1e6\\U0001f1e8\\U0001f1ea\\U0001f1ec\\U0001f1ee\\U0001f1f3\\U0001f1fa]|\\U0001f1fc[\\U0001f1eb\\U0001f1f8]|\\U0001f1fd\\U0001f1f0|\\U0001f1fe[\\U0001f1ea\\U0001f1f9]|\\U0001f1ff[\\U0001f1e6\\U0001f1f2\\U0001f1fc]|[0-9*#]\\ufe0f\\u20e3\"\n",
    "\n",
    "    def _tweet_process(self, tweet):\n",
    "        KEY = 'text'\n",
    "        try:\n",
    "            tw = json.loads(tweet.strip())\n",
    "            if KEY not in tw or tw['lang']!= 'en':\n",
    "                return None\n",
    "            return tw\n",
    "\n",
    "        except Exception as e:\n",
    "            return None\n",
    "\n",
    "\n",
    "\n",
    "    def _emoji_preprocess(self, tweet, predict=False):\n",
    "        # add space before and after space\n",
    "        for emoji in re.findall(self.REGEX, tweet):\n",
    "            tweet = tweet.replace(emoji, ' ' + emoji + ' ')\n",
    "\n",
    "        # tokenize and remove rt and @ and https://\n",
    "        tweet = re.sub('\\?', '', tweet)\n",
    "        tweet = re.sub('\\.', '', tweet)\n",
    "        tweet = re.sub(',', '', tweet)\n",
    "        tweet = re.sub('!', '', tweet)\n",
    "\n",
    "        tweet_tmp = [ self.snowball.stem(wd) for wd in tweet.strip('rt').split() \\\n",
    "        if not wd.startswith('@') and not wd.startswith('http') and not wd.startswith('#') ]\n",
    "\n",
    "        if predict:\n",
    "            tweet_token = ['<s>'] + tweet_tmp\n",
    "        else:\n",
    "            tweet_token = ['<s>'] + tweet_tmp #+ ['</s>']\n",
    "\n",
    "        return tweet_token\n",
    "\n",
    "    def _bigrams(self, tweet):\n",
    "        # generate bigrams from tweets\n",
    "        return list(nltk.bigrams(tweet))\n",
    "\n",
    "    def _trigrams(self, tweet):\n",
    "        # generate trigrams from tweets\n",
    "        return [((w1, w2), w3) for w1, w2, w3 in nltk.trigrams(tweet)]\n",
    "\n",
    "    def _quadgrams(self, tweet):\n",
    "        #generate n grams\n",
    "        return [((w1, w2, w3), w4) for w1, w2, w3, w4 in nltk.ngrams(tweet, 4)]\n",
    "\n",
    "\n",
    "\n",
    "    def fit(self, data, w_bi=1./6, w_tri=1./3, w_quad=1./2):\n",
    "        \"\"\"\n",
    "        data: sc.textFile() object\n",
    "        TODO:  save bigram, trigram, quagram dict to pickle\n",
    "\n",
    "        \"\"\"\n",
    "        # set weight for n_gram models, they should add up to one\n",
    "        self.w_bi = w_bi\n",
    "        self.w_tri = w_tri\n",
    "        self.w_quad = w_quad\n",
    "\n",
    "        tweets =  data\\\n",
    "        .filter(lambda tw: len(tw)>1)\\\n",
    "        .filter(lambda tw: 'created_at' in tw)\\\n",
    "        .map(self._tweet_process)\\\n",
    "        .filter(lambda tw: tw != None)\\\n",
    "        .map(lambda tw: tw['text'].lower() )\\\n",
    "        .map(self._emoji_preprocess)\n",
    "\n",
    "        tweets.cache()\n",
    "\n",
    "        bigram_count = tweets\\\n",
    "                        .flatMap(self._bigrams).map(lambda bg: (bg, 1))\\\n",
    "                        .reduceByKey(lambda cnt1, cnt2: cnt1+cnt2)\\\n",
    "                        .collect()\n",
    "        trigram_count = tweets\\\n",
    "                        .flatMap(self._trigrams).map(lambda bg: (bg, 1))\\\n",
    "                        .reduceByKey(lambda cnt1, cnt2: cnt1+cnt2)\\\n",
    "                        .collect()\n",
    "        quadgrams_count = tweets\\\n",
    "                        .flatMap(self._quadgrams).map(lambda bg: (bg, 1))\\\n",
    "                        .reduceByKey(lambda cnt1, cnt2: cnt1+cnt2)\\\n",
    "                        .collect()\n",
    "\n",
    "\n",
    "        self.bigram_dict = defaultdict(Counter)\n",
    "        self.trigram_dict = defaultdict(Counter)\n",
    "        self.quadgram_dict= defaultdict(Counter)\n",
    "\n",
    "        for ((w0, w1) , cnt) in bigram_count:\n",
    "            self.bigram_dict[w0][w1] = cnt\n",
    "\n",
    "        for (((w0, w1), w2), cnt) in trigram_count:\n",
    "            self.trigram_dict[(w0, w1)][w2] = cnt\n",
    "\n",
    "        for (((w0, w1, w2), w3), cnt) in quadgrams_count:\n",
    "            self.quadgram_dict[(w0, w1, w2)][w3] = cnt\n",
    "\n",
    "        # normalizing the Counter\n",
    "        for key in self.bigram_dict:\n",
    "            total = sum(self.bigram_dict[key].values())\n",
    "            for val in self.bigram_dict[key]:\n",
    "                self.bigram_dict[key][val] = self.bigram_dict[key][val]/float(total)\n",
    "\n",
    "        for key in self.trigram_dict:\n",
    "            total = sum(self.trigram_dict[key].values())\n",
    "            for val in self.trigram_dict[key]:\n",
    "                self.trigram_dict[key][val] = self.trigram_dict[key][val]/float(total)\n",
    "\n",
    "\n",
    "        for key in self.quadgram_dict:\n",
    "            total = sum(self.quadgram_dict[key].values())\n",
    "            for val in self.quadgram_dict[key]:\n",
    "                self.quadgram_dict[key][val] = self.quadgram_dict[key][val]/float(total)\n",
    "\n",
    "\n",
    "        self.tweets = tweets\n",
    "        self._build_w2v()\n",
    "\n",
    "\n",
    "    def _weighted_ngram(self, key, model, wt):\n",
    "        \"\"\"\n",
    "        redistribute probability by weight\n",
    "        \"\"\"\n",
    "        copy_mod = model[key].copy()\n",
    "\n",
    "        for gram in copy_mod:\n",
    "            copy_mod[gram] = copy_mod[gram]*wt\n",
    "        return copy_mod\n",
    "\n",
    "\n",
    "    def _backoff_model(self, proc_str):\n",
    "        bigram_mod = self._weighted_ngram(proc_str[-1:][0], self.bigram_dict, self.w_bi)\n",
    "        trigram_mod = self._weighted_ngram(tuple(proc_str[-2:]), self.trigram_dict, self.w_tri)\n",
    "        quadgram_mod = self._weighted_ngram(tuple(proc_str[-3:]), self.quadgram_dict, self.w_quad)\n",
    "        return bigram_mod + trigram_mod + quadgram_mod\n",
    "\n",
    "    def predict(self, string):\n",
    "        \"\"\"\n",
    "        Perform model prediction\n",
    "        string: raw string input\n",
    "        w_bi, w_tri, w_quad: weights for bigram, triagram and quadgram model,\n",
    "                            should add up to one\n",
    "        \"\"\"\n",
    "        # preprocess the string as you preprocess tweets\n",
    "        proc_str = self._emoji_preprocess(string, predict=True)\n",
    "        stupid_backoff = self._backoff_model(proc_str)\n",
    "\n",
    "        if len(stupid_backoff) != 0 and stupid_backoff != '<s>':\n",
    "            output = self._word_to_emoji(stupid_backoff.most_common()[0][0])\n",
    "            print output\n",
    "            return  output, zip(*stupid_backoff.most_common())[0][:5]\n",
    "        else:\n",
    "            print 'not found', u'\\U0001f600'\n",
    "            return u'\\U0001f600'\n",
    "\n",
    "\n",
    "    def _word_to_emoji(self, wd):\n",
    "        try:\n",
    "            for w, score in self.w2v.findSynonyms(wd, 99999): # 99999 for everything\n",
    "                if w in self.emoji_list:\n",
    "                    return w\n",
    "            print 'nothing found'\n",
    "            return u'\\U0001f600'\n",
    "        except:\n",
    "            print 'exception error'\n",
    "            return u'\\U0001f600'\n",
    "\n",
    "\n",
    "    def _build_w2v(self):\n",
    "        word2vec = Word2Vec()\n",
    "        self.w2v = word2vec.fit(self.tweets)\n",
    "\n",
    "\n",
    "\n",
    "    def _score(self, string):\n",
    "        \"\"\"\n",
    "        calculate the perplexity score for a single string\n",
    "        \"\"\"\n",
    "        proc_str = self._emoji_preprocess(string)\n",
    "\n",
    "        perplexity = 1.0\n",
    "\n",
    "        if len(proc_str) > 4 :\n",
    "            n = 4\n",
    "        else:\n",
    "            n = len(proc_str)\n",
    "\n",
    "        k = 0\n",
    "        for seg in nltk.ngrams(proc_str, n):\n",
    "            k += 1\n",
    "            if n == 4:\n",
    "                quad = seg[:3]\n",
    "                tri = seg[1:3]\n",
    "                bi = seg[2:3][0]\n",
    "            elif n == 3:\n",
    "                quad = seg[:3]\n",
    "                tri = seg[:2]\n",
    "                bi = seg[1:2][0]\n",
    "            elif n == 2:\n",
    "                quad = seg[:3]\n",
    "                tri = seg[:2]\n",
    "                bi = seg[0]\n",
    "\n",
    "            pred = seg[-1]\n",
    "\n",
    "            perplexity *= (self.w_quad * self.quadgram_dict[quad][pred]\\\n",
    "                            + self.w_tri * self.trigram_dict[tri][pred]\\\n",
    "                                + self.w_bi * self.bigram_dict[bi][pred])\n",
    "\n",
    "\n",
    "        return np.power(perplexity, 1./k)\n",
    "\n",
    "\n",
    "    def perplexity_score(self, data):\n",
    "\n",
    "        tweets =  data\\\n",
    "                .filter(lambda tw: len(tw)>1)\\\n",
    "                .filter(lambda tw: 'created_at' in tw)\\\n",
    "                .map(self._tweet_process)\\\n",
    "                .filter(lambda tw: tw != None)\\\n",
    "                .map(lambda tw: tw['text'].lower() )\\\n",
    "                .map(self._score)\\\n",
    "                .map(lambda sc: (1, sc))\\\n",
    "                .reduceByKey(lambda cnt1, cnt2: cnt1+cnt2)\\\n",
    "                .collect()\n",
    "\n",
    "        return tweets[0][1]\n",
    "\n",
    "\n",
    "def get_data(sc):\n",
    "\n",
    "    with open('/home/han/.api_key/awsaccesskey.json') as f:\n",
    "        key= json.load(f)\n",
    "\n",
    "        access= key['access-key']\n",
    "        secret = key['secret-access-key']\n",
    "\n",
    "\n",
    "    if hasattr(ssl, '_create_unverified_context'):\n",
    "       ssl._create_default_https_context = ssl._create_unverified_context\n",
    "\n",
    "\n",
    "    conn = boto.connect_s3()\n",
    "    b = conn.get_bucket('han.tweets.bucket')\n",
    "    for i, key in enumerate(b.get_all_keys()):\n",
    "        print i ,'s3n://'+access+':'+secret +'@han.'+key.name\n",
    "        if i == 0:\n",
    "            data = sc.textFile('s3n://'+access+':'+secret +'@han.tweets.bucket/'+key.name)\n",
    "        if i == 3:\n",
    "            print key\n",
    "            break\n",
    "        else:\n",
    "            temp_data = sc.textFile('s3n://'+access+':'+secret +'@han.'+key.name)\n",
    "            data = data.union(data)\n",
    "    return data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = sc.textFile('s3n://'+access+':'+secret +'@han.tweets.08/twitter_dump.txt)\n",
    "WP = WordPredictor()\n",
    "WP.fit(data)\n",
    "WP.predict('I think this is a ')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "link ='s3n://han.tweets.08/twitterdump.txt'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = sc.textFile(link)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "Py4JJavaError",
     "evalue": "An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n: java.lang.IllegalArgumentException: Invalid hostname in URI s3n://han.tweets.08/twitterdump.txt\n\tat org.apache.hadoop.fs.s3.S3Credentials.initialize(S3Credentials.java:41)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.initialize(Jets3tNativeFileSystemStore.java:50)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)\n\tat org.apache.hadoop.fs.s3native.$Proxy13.initialize(Unknown Source)\n\tat org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:234)\n\tat org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1446)\n\tat org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:67)\n\tat org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1464)\n\tat org.apache.hadoop.fs.FileSystem.get(FileSystem.java:263)\n\tat org.apache.hadoop.fs.Path.getFileSystem(Path.java:187)\n\tat org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:176)\n\tat org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)\n\tat org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)\n\tat org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:316)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:926)\n\tat org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)\n\tat org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)\n\tat py4j.Gateway.invoke(Gateway.java:259)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.GatewayConnection.run(GatewayConnection.java:209)\n\tat java.lang.Thread.run(Thread.java:745)\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mPy4JJavaError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-24-0106b6ff8a89>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mcount\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1002\u001b[0m         \u001b[1;36m3\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1003\u001b[0m         \"\"\"\n\u001b[1;32m-> 1004\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1005\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1006\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mstats\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36msum\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    993\u001b[0m         \u001b[1;36m6.0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    994\u001b[0m         \"\"\"\n\u001b[1;32m--> 995\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfold\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moperator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    996\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    997\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mfold\u001b[1;34m(self, zeroValue, op)\u001b[0m\n\u001b[0;32m    867\u001b[0m         \u001b[1;31m# zeroValue provided to each partition is unique from the one provided\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    868\u001b[0m         \u001b[1;31m# to the final reduce call\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 869\u001b[1;33m         \u001b[0mvals\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmapPartitions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    870\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mreduce\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvals\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mzeroValue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    871\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/pyspark/rdd.pyc\u001b[0m in \u001b[0;36mcollect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    769\u001b[0m         \"\"\"\n\u001b[0;32m    770\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mSCCallSiteSync\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontext\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mcss\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 771\u001b[1;33m             \u001b[0mport\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mctx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jvm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPythonRDD\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollectAndServe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jrdd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrdd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    772\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_load_from_socket\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jrdd_deserializer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    773\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/han/anaconda2/lib/python2.7/site-packages/py4j/java_gateway.pyc\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args)\u001b[0m\n\u001b[0;32m    833\u001b[0m         \u001b[0manswer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgateway_client\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    834\u001b[0m         return_value = get_return_value(\n\u001b[1;32m--> 835\u001b[1;33m             answer, self.gateway_client, self.target_id, self.name)\n\u001b[0m\u001b[0;32m    836\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    837\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mtemp_arg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mtemp_args\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/han/anaconda2/lib/python2.7/site-packages/py4j/protocol.pyc\u001b[0m in \u001b[0;36mget_return_value\u001b[1;34m(answer, gateway_client, target_id, name)\u001b[0m\n\u001b[0;32m    308\u001b[0m                 raise Py4JJavaError(\n\u001b[0;32m    309\u001b[0m                     \u001b[1;34m\"An error occurred while calling {0}{1}{2}.\\n\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 310\u001b[1;33m                     format(target_id, \".\", name), value)\n\u001b[0m\u001b[0;32m    311\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    312\u001b[0m                 raise Py4JError(\n",
      "\u001b[1;31mPy4JJavaError\u001b[0m: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n: java.lang.IllegalArgumentException: Invalid hostname in URI s3n://han.tweets.08/twitterdump.txt\n\tat org.apache.hadoop.fs.s3.S3Credentials.initialize(S3Credentials.java:41)\n\tat org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.initialize(Jets3tNativeFileSystemStore.java:50)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)\n\tat org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)\n\tat org.apache.hadoop.fs.s3native.$Proxy13.initialize(Unknown Source)\n\tat org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:234)\n\tat org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1446)\n\tat org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:67)\n\tat org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1464)\n\tat org.apache.hadoop.fs.FileSystem.get(FileSystem.java:263)\n\tat org.apache.hadoop.fs.Path.getFileSystem(Path.java:187)\n\tat org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:176)\n\tat org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)\n\tat org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)\n\tat org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)\n\tat scala.Option.getOrElse(Option.scala:120)\n\tat org.apache.spark.rdd.RDD.partitions(RDD.scala:237)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)\n\tat org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:316)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:926)\n\tat org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)\n\tat org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:497)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)\n\tat py4j.Gateway.invoke(Gateway.java:259)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.GatewayConnection.run(GatewayConnection.java:209)\n\tat java.lang.Thread.run(Thread.java:745)\n"
     ]
    }
   ],
   "source": [
    "data.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df =pd.DataFrame(columns = ['foo', 'bar'], index = ['test1', 'test2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df.ix['test1']['foo'] =1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tt = df.to_sparse(fill_value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df.ix['test2']['bar'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>foo</th>\n",
       "      <th>bar</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>test1</th>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>test2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       foo  bar\n",
       "test1    1  NaN\n",
       "test2  NaN    1"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.to_sparse(fill_value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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