NLTK with Py3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import nltk as nl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "#nl.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokenised sentence: \n",
      "\n",
      "Hello Mr. Smith, how are you doing today?\n",
      "The weather is great, and Python is awesome.\n",
      "The sky is pinkish-blue.\n",
      "You shouldn't eat cardboard.\n",
      "\n",
      "Tokenised words: \n",
      "\n",
      "Hello\n",
      "Mr.\n",
      "Smith\n",
      ",\n",
      "how\n",
      "are\n",
      "you\n",
      "doing\n",
      "today\n",
      "?\n"
     ]
    }
   ],
   "source": [
    "#Tokenizing Words & Sentences\n",
    "\n",
    "from nltk.tokenize import sent_tokenize, word_tokenize\n",
    "\n",
    "EXAMPLE_TEXT = \"Hello Mr. Smith, how are you doing today? The weather is great, and Python is awesome. The sky is pinkish-blue. You shouldn't eat cardboard.\"\n",
    "\n",
    "word_tokens=word_tokenize(EXAMPLE_TEXT)\n",
    "sent_tokens=sent_tokenize(EXAMPLE_TEXT)\n",
    "\n",
    "print('Tokenised sentence: \\n')\n",
    "for i in sent_tokens[:10]:\n",
    "    print(i)\n",
    "    \n",
    "print('\\nTokenised words: \\n')\n",
    "for i in word_tokens[:10]:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Tokenised words: \n",
      "\n",
      "['Hello', 'Mr.', 'Smith', ',', 'how', 'are', 'you', 'doing', 'today', '?', 'The', 'weather', 'is', 'great', ',', 'and', 'Python', 'is', 'awesome', '.', 'The', 'sky', 'is', 'pinkish-blue', '.', 'You', 'should', \"n't\", 'eat', 'cardboard', '.']\n",
      "\n",
      "Fiiltered words: \n",
      "\n",
      "['Hello', 'Mr.', 'Smith', ',', 'today', '?', 'The', 'weather', 'great', ',', 'Python', 'awesome', '.', 'The', 'sky', 'pinkish-blue', '.', 'You', \"n't\", 'eat', 'cardboard', '.']\n"
     ]
    }
   ],
   "source": [
    "#Stop Words\n",
    "from nltk.corpus import stopwords\n",
    "stop_words=set(stopwords.words('english'))\n",
    "filtered_sentence=[]\n",
    "for w in word_tokens:\n",
    "    if w not in stop_words:\n",
    "        filtered_sentence.append(w)\n",
    "        \n",
    "print('\\nTokenised words: \\n')\n",
    "print(word_tokens)\n",
    "print('\\nFiiltered words: \\n')\n",
    "print(filtered_sentence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "python\n",
      "python\n",
      "python\n",
      "python\n",
      "pythonli\n",
      "\n",
      "Stemmed sentence\n",
      "It\n",
      "is\n",
      "import\n",
      "to\n",
      "by\n",
      "veri\n",
      "pythonli\n",
      "while\n",
      "you\n",
      "are\n"
     ]
    }
   ],
   "source": [
    "#Stemming Words\n",
    "from nltk.stem import PorterStemmer\n",
    "ps = PorterStemmer()\n",
    "example_words = [\"python\",\"pythoner\",\"pythoning\",\"pythoned\",\"pythonly\"]\n",
    "for w in example_words:\n",
    "    print(ps.stem(w))\n",
    "new_text = \"It is important to by very pythonly while you are pythoning with python. All pythoners have pythoned poorly at least once.\"\n",
    "words = word_tokenize(new_text)\n",
    "print('\\nStemmed sentence')\n",
    "for w in words[:10]:\n",
    "    print(ps.stem(w))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "0.00034965034965034965 0.0033444816053511705 0.00018446781036709093 5720 299 2 1\n",
      "0.0015734265734265735 0.0033444816053511705 0.0014757424829367274 5720 299 9 1\n",
      "0.00034965034965034965 0.0033444816053511705 0.00018446781036709093 5720 299 2 1\n",
      "0.001048951048951049 0.0033444816053511705 0.0009223390518354548 5720 299 6 1\n",
      "('PRESIDENT', 'NNP')\n",
      "('GEORGE', 'NNP')\n",
      "('W.', 'NNP')\n",
      "('BUSH', 'NNP')\n",
      "(\"'S\", 'POS')\n",
      "('ADDRESS', 'NNP')\n",
      "('BEFORE', 'IN')\n",
      "('A', 'NNP')\n",
      "('JOINT', 'NNP')\n",
      "('SESSION', 'NNP')\n",
      "('Mr.', 'NNP')\n",
      "('Speaker', 'NNP')\n",
      "(',', ',')\n",
      "('Vice', 'NNP')\n",
      "('President', 'NNP')\n",
      "('Cheney', 'NNP')\n",
      "(',', ',')\n",
      "('members', 'NNS')\n",
      "('of', 'IN')\n",
      "('Congress', 'NNP')\n",
      "('Tonight', 'NN')\n",
      "('we', 'PRP')\n",
      "('are', 'VBP')\n",
      "('comforted', 'VBN')\n",
      "('by', 'IN')\n",
      "('the', 'DT')\n",
      "('hope', 'NN')\n",
      "('of', 'IN')\n",
      "('a', 'DT')\n",
      "('glad', 'JJ')\n",
      "('(', '(')\n",
      "('Applause', 'NNP')\n",
      "('.', '.')\n",
      "(')', ')')\n",
      "('President', 'NNP')\n",
      "('George', 'NNP')\n",
      "('W.', 'NNP')\n",
      "('Bush', 'NNP')\n",
      "('reacts', 'VBZ')\n",
      "('to', 'TO')\n",
      "('applause', 'VB')\n",
      "('during', 'IN')\n",
      "('his', 'PRP$')\n",
      "('State', 'NNP')\n",
      "('31', 'CD')\n",
      "(',', ',')\n",
      "('2006', 'CD')\n",
      "('.', '.')\n",
      "('White', 'NNP')\n",
      "('House', 'NNP')\n",
      "('photo', 'NN')\n",
      "('by', 'IN')\n",
      "('Eric', 'NNP')\n",
      "('DraperEvery', 'NNP')\n",
      "('time', 'NN')\n",
      "('I', 'PRP')\n",
      "(\"'m\", 'VBP')\n",
      "('invited', 'JJ')\n",
      "('We', 'PRP')\n",
      "('have', 'VBP')\n",
      "('gathered', 'VBN')\n",
      "('under', 'IN')\n",
      "('this', 'DT')\n",
      "('Capitol', 'NNP')\n",
      "('dome', 'NN')\n",
      "('in', 'IN')\n",
      "('moments', 'NNS')\n",
      "('of', 'IN')\n",
      "('We', 'PRP')\n",
      "('have', 'VBP')\n",
      "('served', 'VBN')\n",
      "('America', 'NNP')\n",
      "('through', 'IN')\n",
      "('one', 'CD')\n",
      "('of', 'IN')\n",
      "('the', 'DT')\n",
      "('most', 'RBS')\n",
      "('consequential', 'JJ')\n",
      "('In', 'IN')\n",
      "('a', 'DT')\n",
      "('system', 'NN')\n",
      "('of', 'IN')\n",
      "('two', 'CD')\n",
      "('parties', 'NNS')\n",
      "(',', ',')\n",
      "('two', 'CD')\n",
      "('chambers', 'NNS')\n",
      "(',', ',')\n"
     ]
    }
   ],
   "source": [
    "#POS Tagging\n",
    "#PunktSentenceTokenizer is an unsupervised machile learning sentence tokenizer\n",
    "import nltk\n",
    "from nltk.corpus import state_union\n",
    "from nltk.tokenize import PunktSentenceTokenizer\n",
    "\n",
    "train=state_union.raw('2005-GWBush.txt')\n",
    "test=state_union.raw('2006-GWBush.txt')\n",
    "\n",
    "sent_tokenizer=PunktSentenceTokenizer(train)\n",
    "tokenized=sent_tokenizer.tokenize(test)\n",
    "type(tokenized)\n",
    "for i in tokenized[:10]:\n",
    "    words=nltk.word_tokenize(i)\n",
    "    tagged=nltk.pos_tag(words)\n",
    "    for j in tagged[:10]:\n",
    "        print(j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Chunking\n",
    "# Regular expressions to chunk\n",
    "for i in tokenized[:2]:\n",
    "    words=nltk.word_tokenize(i)\n",
    "    tagged=nltk.pos_tag(words)\n",
    "    \n",
    "    chunkGram=r'''Chunk:{<RB.?>*<VB.?>*<NNP>+<NN>?}'''\n",
    "    \n",
    "    chunkParser=nltk.RegexpParser(chunkGram)\n",
    "    chunked=chunkParser.parse(tagged)\n",
    "    \n",
    "    chunked.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#Chinking\n",
    "#}{ is used to avoid that you don't need in your chunk\n",
    "for i in tokenized[:2]:\n",
    "    words=nltk.word_tokenize(i)\n",
    "    tagged=nltk.pos_tag(words)\n",
    "    \n",
    "    chunkGram=r'''Chunk:{<RB.?>*<VB.?>*<NNP>+<NN>?}\n",
    "                        }<VB.?|IN|DT|TO|JJ>+{'''\n",
    "    \n",
    "    chunkParser=nltk.RegexpParser(chunkGram)\n",
    "    chunked=chunkParser.parse(tagged)\n",
    "    \n",
    "    chunked.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Named Entity Recognition\n",
    "for i in tokenized[:2]:\n",
    "    words=nltk.word_tokenize(i)\n",
    "    tagged=nltk.pos_tag(words)\n",
    "    namedEnt=nltk.ne_chunk(tagged, binary=True)\n",
    "    namedEnt.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cat\n",
      "goose\n",
      "puppy\n",
      "good\n",
      "cactus\n",
      "run\n"
     ]
    }
   ],
   "source": [
    "#Lemmatising\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "lemmatizer= WordNetLemmatizer()\n",
    "print(lemmatizer.lemmatize('cats'))\n",
    "print(lemmatizer.lemmatize('geese'))\n",
    "print(lemmatizer.lemmatize('puppy'))\n",
    "print(lemmatizer.lemmatize('better',pos='a'))\n",
    "print(lemmatizer.lemmatize('cacti'))\n",
    "print(lemmatizer.lemmatize('runs'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['1:5 And God called the light Day, and the darkness he called Night.', 'And the evening and the morning were the first day.', '1:6 And God said, Let there be a firmament in the midst of the waters,\\nand let it divide the waters from the waters.', '1:7 And God made the firmament, and divided the waters which were\\nunder the firmament from the waters which were above the firmament:\\nand it was so.', '1:8 And God called the firmament Heaven.', 'And the evening and the\\nmorning were the second day.', '1:9 And God said, Let the waters under the heaven be gathered together\\nunto one place, and let the dry land appear: and it was so.', '1:10 And God called the dry land Earth; and the gathering together of\\nthe waters called he Seas: and God saw that it was good.', '1:11 And God said, Let the earth bring forth grass, the herb yielding\\nseed, and the fruit tree yielding fruit after his kind, whose seed is\\nin itself, upon the earth: and it was so.', '1:12 And the earth brought forth grass, and herb yielding seed after\\nhis kind, and the tree yielding fruit, whose seed was in itself, after\\nhis kind: and God saw that it was good.']\n"
     ]
    }
   ],
   "source": [
    "#Corpora\n",
    "from nltk.corpus import gutenberg\n",
    "from nltk.tokenize import sent_tokenize\n",
    "sample=gutenberg.raw('bible-kjv.txt')\n",
    "tok=sent_tokenize(sample)\n",
    "print(tok[5:15])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plan.n.01\n",
      "plan\n",
      "a series of steps to be carried out or goals to be accomplished\n",
      "['they drew up a six-step plan', 'they discussed plans for a new bond issue']\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "not enough values to unpack (expected 3, got 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-3-e167e44229af>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[0;31m#Symantics Similarity\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 27\u001b[0;31m \u001b[0mw1\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mwordnet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msynset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ship\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     28\u001b[0m \u001b[0mw2\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mwordnet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msynset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"boat\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwup_similarity\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/nltk/corpus/reader/wordnet.py\u001b[0m in \u001b[0;36msynset\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   1282\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0msynset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1283\u001b[0m         \u001b[0;31m# split name into lemma, part of speech and synset number\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1284\u001b[0;31m         \u001b[0mlemma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpos\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msynset_index_str\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrsplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'.'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1285\u001b[0m         \u001b[0msynset_index\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msynset_index_str\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1286\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: not enough values to unpack (expected 3, got 1)"
     ]
    }
   ],
   "source": [
    "#WordNet Synonyms, Antonyms, Definitions and even context\n",
    "from nltk.corpus import wordnet\n",
    "syns=wordnet.synsets('program')\n",
    "\n",
    "#synset\n",
    "print(syns[0].name())\n",
    "#just the word\n",
    "print(syns[0].lemmas()[0].name())\n",
    "#definition\n",
    "print(syns[0].definition())\n",
    "#examples\n",
    "print(syns[0].examples())\n",
    "\n",
    "synonyms=[]\n",
    "antonyms=[]\n",
    "\n",
    "for syn in wordnet.synsets('good'):\n",
    "    for l in syn.lemmas():\n",
    "#         print('l:',l)\n",
    "        synonyms.append(l.name())\n",
    "        if l.antonyms():\n",
    "            antonyms.append(l.antonyms()[0].name())\n",
    "# print(set(synonyms))\n",
    "# print(set(antonyms))\n",
    "\n",
    "#Symantics Similarity\n",
    "w1=wordnet.synset(\"ship.n.01\")\n",
    "w2=wordnet.synset(\"boat.n.01\")\n",
    "print(w1.wup_similarity(w2))\n",
    "\n",
    "w1=wordnet.synset(\"ship.n.01\")\n",
    "w2=wordnet.synset(\"car.n.01\")\n",
    "print(w1.wup_similarity(w2))\n",
    "\n",
    "w1=wordnet.synset(\"ship.n.01\")\n",
    "w2=wordnet.synset(\"cat.n.01\")\n",
    "print(w1.wup_similarity(w2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(',', 77717), ('the', 76529), ('.', 65876), ('a', 38106), ('and', 35576), ('of', 34123), ('to', 31937), (\"'\", 30585), ('is', 25195), ('in', 21822), ('s', 18513), ('\"', 17612), ('it', 16107), ('that', 15924), ('-', 15595)]\n",
      "253\n"
     ]
    }
   ],
   "source": [
    "#Text Classification for sentiment analysis\n",
    "import nltk\n",
    "import random\n",
    "from nltk.corpus import movie_reviews\n",
    "\n",
    "documents= [(list(movie_reviews.words(fileid)),category)\n",
    "             for category in movie_reviews.categories()\n",
    "             for fileid in movie_reviews.fileids(category)]\n",
    "\n",
    "\n",
    " random.shuffle(documents)\n",
    "\n",
    "# print(documents[0])\n",
    "all_words=[]\n",
    "for w in movie_reviews.words():\n",
    "    all_words.append(w.lower())\n",
    "all_words=nltk.FreqDist(all_words)\n",
    "print(all_words.most_common(15))\n",
    "\n",
    "print(all_words['stupid'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'plot': True, ':': True, 'two': True, 'teen': True, 'couples': True, 'go': True, 'to': True, 'a': True, 'church': True, 'party': True, ',': True, 'drink': True, 'and': True, 'then': True, 'drive': True, '.': True, 'they': True, 'get': True, 'into': True, 'an': True, 'accident': True, 'one': True, 'of': True, 'the': True, 'guys': True, 'dies': True, 'but': True, 'his': True, 'girlfriend': True, 'continues': True, 'see': True, 'him': True, 'in': True, 'her': True, 'life': True, 'has': True, 'nightmares': True, 'what': True, \"'\": True, 's': True, 'deal': True, '?': True, 'watch': True, 'movie': True, '\"': True, 'sorta': True, 'find': True, 'out': True, 'critique': True, 'mind': True, '-': True, 'fuck': True, 'for': True, 'generation': True, 'that': True, 'touches': True, 'on': True, 'very': True, 'cool': True, 'idea': True, 'presents': True, 'it': True, 'bad': True, 'package': True, 'which': True, 'is': True, 'makes': True, 'this': True, 'review': True, 'even': True, 'harder': True, 'write': True, 'since': True, 'i': True, 'generally': True, 'applaud': True, 'films': True, 'attempt': True, 'break': True, 'mold': True, 'mess': True, 'with': True, 'your': True, 'head': True, 'such': True, '(': True, 'lost': True, 'highway': True, '&': True, 'memento': True, ')': True, 'there': True, 'are': True, 'good': True, 'ways': True, 'making': True, 'all': True, 'types': True, 'these': True, 'folks': True, 'just': True, 'didn': True, 't': True, 'snag': True, 'correctly': True, 'seem': True, 'have': True, 'taken': True, 'pretty': True, 'neat': True, 'concept': True, 'executed': True, 'terribly': True, 'so': True, 'problems': True, 'well': True, 'its': True, 'main': True, 'problem': True, 'simply': True, 'too': True, 'jumbled': True, 'starts': True, 'off': True, 'normal': True, 'downshifts': True, 'fantasy': True, 'world': True, 'you': True, 'as': True, 'audience': True, 'member': True, 'no': True, 'going': True, 'dreams': True, 'characters': True, 'coming': True, 'back': True, 'from': True, 'dead': True, 'others': True, 'who': True, 'look': True, 'like': True, 'strange': True, 'apparitions': True, 'disappearances': True, 'looooot': True, 'chase': True, 'scenes': True, 'tons': True, 'weird': True, 'things': True, 'happen': True, 'most': True, 'not': True, 'explained': True, 'now': True, 'personally': True, 'don': True, 'trying': True, 'unravel': True, 'film': True, 'every': True, 'when': True, 'does': True, 'give': True, 'me': True, 'same': True, 'clue': True, 'over': True, 'again': True, 'kind': True, 'fed': True, 'up': True, 'after': True, 'while': True, 'biggest': True, 'obviously': True, 'got': True, 'big': True, 'secret': True, 'hide': True, 'seems': True, 'want': True, 'completely': True, 'until': True, 'final': True, 'five': True, 'minutes': True, 'do': True, 'make': True, 'entertaining': True, 'thrilling': True, 'or': True, 'engaging': True, 'meantime': True, 'really': True, 'sad': True, 'part': True, 'arrow': True, 'both': True, 'dig': True, 'flicks': True, 'we': True, 'actually': True, 'figured': True, 'by': True, 'half': True, 'way': True, 'point': True, 'strangeness': True, 'did': True, 'start': True, 'little': True, 'bit': True, 'sense': True, 'still': True, 'more': True, 'guess': True, 'bottom': True, 'line': True, 'movies': True, 'should': True, 'always': True, 'sure': True, 'before': True, 'given': True, 'password': True, 'enter': True, 'understanding': True, 'mean': True, 'showing': True, 'melissa': True, 'sagemiller': True, 'running': True, 'away': True, 'visions': True, 'about': True, '20': True, 'throughout': True, 'plain': True, 'lazy': True, '!': True, 'okay': True, 'people': True, 'chasing': True, 'know': True, 'need': True, 'how': True, 'giving': True, 'us': True, 'different': True, 'offering': True, 'further': True, 'insight': True, 'down': True, 'apparently': True, 'studio': True, 'took': True, 'director': True, 'chopped': True, 'themselves': True, 'shows': True, 'might': True, 've': True, 'been': True, 'decent': True, 'here': True, 'somewhere': True, 'suits': True, 'decided': True, 'turning': True, 'music': True, 'video': True, 'edge': True, 'would': True, 'actors': True, 'although': True, 'wes': True, 'bentley': True, 'seemed': True, 'be': True, 'playing': True, 'exact': True, 'character': True, 'he': True, 'american': True, 'beauty': True, 'only': True, 'new': True, 'neighborhood': True, 'my': True, 'kudos': True, 'holds': True, 'own': True, 'entire': True, 'feeling': True, 'unraveling': True, 'overall': True, 'doesn': True, 'stick': True, 'because': True, 'entertain': True, 'confusing': True, 'rarely': True, 'excites': True, 'feels': True, 'redundant': True, 'runtime': True, 'despite': True, 'ending': True, 'explanation': True, 'craziness': True, 'came': True, 'oh': True, 'horror': True, 'slasher': True, 'flick': True, 'packaged': True, 'someone': True, 'assuming': True, 'genre': True, 'hot': True, 'kids': True, 'also': True, 'wrapped': True, 'production': True, 'years': True, 'ago': True, 'sitting': True, 'shelves': True, 'ever': True, 'whatever': True, 'skip': True, 'where': True, 'joblo': True, 'nightmare': True, 'elm': True, 'street': True, '3': True, '7': True, '/': True, '10': True, 'blair': True, 'witch': True, '2': True, 'crow': True, '9': True, 'salvation': True, '4': True, 'stir': True, 'echoes': True, '8': True, 'happy': False, 'bastard': False, 'quick': False, 'damn': False, 'y2k': False, 'bug': False, 'starring': False, 'jamie': False, 'lee': False, 'curtis': False, 'another': False, 'baldwin': False, 'brother': False, 'william': False, 'time': False, 'story': False, 'regarding': False, 'crew': False, 'tugboat': False, 'comes': False, 'across': False, 'deserted': False, 'russian': False, 'tech': False, 'ship': False, 'kick': False, 'power': False, 'within': False, 'gore': False, 'bringing': False, 'few': False, 'action': False, 'sequences': False, 'virus': False, 'empty': False, 'flash': False, 'substance': False, 'why': False, 'was': False, 'middle': False, 'nowhere': False, 'origin': False, 'pink': False, 'flashy': False, 'thing': False, 'hit': False, 'mir': False, 'course': False, 'donald': False, 'sutherland': False, 'stumbling': False, 'around': False, 'drunkenly': False, 'hey': False, 'let': False, 'some': False, 'robots': False, 'acting': False, 'below': False, 'average': False, 'likes': False, 're': False, 'likely': False, 'work': False, 'halloween': False, 'h20': False, 'wasted': False, 'real': False, 'star': False, 'stan': False, 'winston': False, 'robot': False, 'design': False, 'schnazzy': False, 'cgi': False, 'occasional': False, 'shot': False, 'picking': False, 'brain': False, 'if': False, 'body': False, 'parts': False, 'turn': False, 'otherwise': False, 'much': False, 'sunken': False, 'jaded': False, 'viewer': False, 'thankful': False, 'invention': False, 'timex': False, 'indiglo': False, 'based': False, 'late': False, '1960': False, 'television': False, 'show': False, 'name': False, 'mod': False, 'squad': False, 'tells': False, 'tale': False, 'three': False, 'reformed': False, 'criminals': False, 'under': False, 'employ': False, 'police': False, 'undercover': False, 'however': False, 'wrong': False, 'evidence': False, 'gets': False, 'stolen': False, 'immediately': False, 'suspicion': False, 'ads': False, 'cuts': False, 'claire': False, 'dane': False, 'nice': False, 'hair': False, 'cute': False, 'outfits': False, 'car': False, 'chases': False, 'stuff': False, 'blowing': False, 'sounds': False, 'first': False, 'fifteen': False, 'quickly': False, 'becomes': False, 'apparent': False, 'certainly': False, 'slick': False, 'looking': False, 'complete': False, 'costumes': False, 'isn': False, 'enough': False, 'best': False, 'described': False, 'cross': False, 'between': False, 'hour': False, 'long': False, 'cop': False, 'stretched': False, 'span': False, 'single': False, 'clich': False, 'matter': False, 'elements': False, 'recycled': False, 'everything': False, 'already': False, 'seen': False, 'nothing': False, 'spectacular': False, 'sometimes': False, 'bordering': False, 'wooden': False, 'danes': False, 'omar': False, 'epps': False, 'deliver': False, 'their': False, 'lines': False, 'bored': False, 'transfers': False, 'onto': False, 'escape': False, 'relatively': False, 'unscathed': False, 'giovanni': False, 'ribisi': False, 'plays': False, 'resident': False, 'crazy': False, 'man': False, 'ultimately': False, 'being': False, 'worth': False, 'watching': False, 'unfortunately': False, 'save': False, 'convoluted': False, 'apart': False, 'occupying': False, 'screen': False, 'young': False, 'cast': False, 'clothes': False, 'hip': False, 'soundtrack': False, 'appears': False, 'geared': False, 'towards': False, 'teenage': False, 'mindset': False, 'r': False, 'rating': False, 'content': False, 'justify': False, 'juvenile': False, 'older': False, 'information': False, 'literally': False, 'spoon': False, 'hard': False, 'instead': False, 'telling': False, 'dialogue': False, 'poorly': False, 'written': False, 'extremely': False, 'predictable': False, 'progresses': False, 'won': False, 'care': False, 'heroes': False, 'any': False, 'jeopardy': False, 'll': False, 'aren': False, 'basing': False, 'nobody': False, 'remembers': False, 'questionable': False, 'wisdom': False, 'especially': False, 'considers': False, 'target': False, 'fact': False, 'number': False, 'memorable': False, 'can': False, 'counted': False, 'hand': False, 'missing': False, 'finger': False, 'times': False, 'checked': False, 'six': False, 'clear': False, 'indication': False, 'them': False, 'than': False, 'cash': False, 'spending': False, 'dollar': False, 'judging': False, 'rash': False, 'awful': False, 'seeing': False, 'avoid': False, 'at': False, 'costs': False, 'quest': False, 'camelot': False, 'warner': False, 'bros': False, 'feature': False, 'length': False, 'fully': False, 'animated': False, 'steal': False, 'clout': False, 'disney': False, 'cartoon': False, 'empire': False, 'mouse': False, 'reason': False, 'worried': False, 'other': False, 'recent': False, 'challenger': False, 'throne': False, 'last': False, 'fall': False, 'promising': False, 'flawed': False, '20th': False, 'century': False, 'fox': False, 'anastasia': False, 'hercules': False, 'lively': False, 'colorful': False, 'palate': False, 'had': False, 'beat': False, 'hands': False, 'crown': False, '1997': False, 'piece': False, 'animation': False, 'year': False, 'contest': False, 'arrival': False, 'magic': False, 'kingdom': False, 'mediocre': False, '--': False, 'd': False, 'pocahontas': False, 'those': False, 'keeping': False, 'score': False, 'nearly': False, 'dull': False, 'revolves': False, 'adventures': False, 'free': False, 'spirited': False, 'kayley': False, 'voiced': False, 'jessalyn': False, 'gilsig': False, 'early': False, 'daughter': False, 'belated': False, 'knight': False, 'king': False, 'arthur': False, 'round': False, 'table': False, 'dream': False, 'follow': False, 'father': False, 'footsteps': False, 'she': False, 'chance': False, 'evil': False, 'warlord': False, 'ruber': False, 'gary': False, 'oldman': False, 'ex': False, 'gone': False, 'steals': False, 'magical': False, 'sword': False, 'excalibur': False, 'accidentally': False, 'loses': False, 'dangerous': False, 'booby': False, 'trapped': False, 'forest': False, 'help': False, 'hunky': False, 'blind': False, 'timberland': False, 'dweller': False, 'garrett': False, 'carey': False, 'elwes': False, 'headed': False, 'dragon': False, 'eric': False, 'idle': False, 'rickles': False, 'arguing': False, 'itself': False, 'able': False, 'medieval': False, 'sexist': False, 'prove': False, 'fighter': False, 'side': False, 'pure': False, 'showmanship': False, 'essential': False, 'element': False, 'expected': False, 'climb': False, 'high': False, 'ranks': False, 'differentiates': False, 'something': False, 'saturday': False, 'morning': False, 'subpar': False, 'instantly': False, 'forgettable': False, 'songs': False, 'integrated': False, 'computerized': False, 'footage': False, 'compare': False, 'run': False, 'angry': False, 'ogre': False, 'herc': False, 'battle': False, 'hydra': False, 'rest': False, 'case': False, 'stink': False, 'none': False, 'remotely': False, 'interesting': False, 'race': False, 'bland': False, 'end': False, 'tie': False, 'win': False, 'comedy': False, 'shtick': False, 'awfully': False, 'cloying': False, 'least': False, 'signs': False, 'pulse': False, 'fans': False, \"-'\": False, '90s': False, 'tgif': False, 'will': False, 'thrilled': False, 'jaleel': False, 'urkel': False, 'white': False, 'bronson': False, 'balki': False, 'pinchot': False, 'sharing': False, 'nicely': False, 'realized': False, 'though': False, 'm': False, 'loss': False, 'recall': False, 'specific': False, 'providing': False, 'voice': False, 'talent': False, 'enthusiastic': False, 'paired': False, 'singers': False, 'sound': False, 'musical': False, 'moments': False, 'jane': False, 'seymour': False, 'celine': False, 'dion': False, 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False, 'inexpensive': False, 'produce': False, 'special': False, 'effects': False, 'stars': False, 'serve': False, 'vehicles': False, 'nudity': False, 'allowing': False, 'frequent': False, 'night': False, 'cable': False, 'wavers': False, 'slightly': False, 'norm': False, 'respect': False, 'psycho': False, 'never': False, 'affair': False, ';': False, 'contrary': False, 'rejected': False, 'rather': False, 'lover': False, 'wife': False, 'husband': False, 'entry': False, 'doomed': False, 'collect': False, 'dust': False, 'viewed': False, 'midnight': False, 'provide': False, 'suspense': False, 'sets': False, 'interspersed': False, 'opening': False, 'credits': False, 'instance': False, 'serious': False, 'sounding': False, 'narrator': False, 'spouts': False, 'statistics': False, 'stalkers': False, 'ponders': False, 'cause': False, 'stalk': False, 'implicitly': False, 'implied': False, 'men': False, 'shown': False, 'snapshot': False, 'actor': False, 'jay': False, 'underwood': False, 'states': 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'courtship': False, 'charming': False, 'temptations': False, 'grown': False, 'stands': False, 'island': False, 'expressway': False, 'slices': False, 'malls': False, 'class': False, 'homes': False, 'suburbia': False, 'filmmaker': False, 'cuesta': False, 'uses': False, 'transparent': False, 'metaphor': False, '15': False, 'protagonist': False, 'howie': False, 'franklin': False, 'dano': False, 'reveals': False, 'morbid': False, 'preoccupation': False, 'death': False, 'citing': False, 'deaths': False, 'alan': False, 'j': False, 'pakula': False, 'songwriter': False, 'harry': False, 'chapin': False, 'exit': False, '52': False, 'fascinated': False, 'feelings': False, 'projected': False, 'bright': False, 'move': False, 'force': False, 'complex': False, 'molesters': False, 'beast': False, 'ashamed': False, 'worked': False, 'ill': False, 'advised': False, 'foray': False, 'unnecessary': False, 'padding': False, 'miserable': False, 'bruce': False, 'altman': False, 'seat': False, 'collar': False, 'crime': False, 'degenerate': False, 'youngsters': False, 'kicks': False, 'robbing': False, 'houses': False, 'homoerotic': False, 'shenanigans': False, 'ass': False, 'terrio': False, 'billy': False, 'kay': False, 'handsome': False, 'artful': False, 'dodger': False, 'add': False, 'themes': False, 'suburban': False, 'ennui': False, 'needed': False, 'awkward': False, 'subplots': False, 'concurrently': False, 'relationship': False, 'evenly': False, 'paced': False, 'exceptionally': False, 'acted': False, 'sporting': False, 'baseball': False, 'cap': False, 'faded': False, 'marine': False, 'tattoo': False, 'bluff': False, 'bluster': False, 'quiet': False, 'glance': False, 'withdrawn': False, 'whose': False, 'dramatic': False, 'choices': False, 'broad': False, 'calling': False, 'haley': False, 'restraint': False, 'admirable': False, 'screenplay': False, 'material': False, 'reads': False, 'walt': False, 'whitman': False, 'poem': False, 'moment': False, 'precious': False, 'lingers': False, 'ecstatic': False, 'hearing': False, 'glenn': False, 'gould': False, 'performing': False, 'bach': False, 'goldberg': False, 'variations': False, 'involving': False, 'walter': False, 'masterson': False, 'jealous': False, 'newbie': False, 'thread': False, 'predictably': False, 'leads': False, 'observational': False, 'portrait': False, 'alienation': False, 'royally': False, 'screwed': False, 'terry': False, 'zwigoff': False, 'superb': False, 'confidence': False, 'ambivalent': False, 'typical': False, 'cinema': False, 'wrap': False, 'bullet': False, 'sparing': False, 'writers': False, 'philosophical': False, 'regard': False, 'countless': False, 'share': False, 'blockbuster': False, 'solved': False, 'obstacle': False, 'removed': False, 'often': False, 'extend': False, 'question': False, 'striving': False, 'realism': False, 'destroy': False, 'janeane': False, 'garofalo': False, 'couple': False, 'truth': False, 'cats': False, 'dogs': False, 'excruciating': False, 'matchmaker': False, 'books': False, 'plods': False, 'predestined': False, 'surprises': False, 'jumps': False, 'popular': False, 'political': False, 'satire': False, 'bandwagon': False, 'campaign': False, 'aide': False, 'massacusetts': False, 'senator': False, 'sanders': False, 'reelection': False, 'denis': False, 'leary': False, 'stereotypical': False, 'strategist': False, 'ethics': False, 'scandal': False, 'plagued': False, 'play': False, 'irish': False, 'roots': False, 'boston': False, 'roman': False, 'catholic': False, 'democrat': False, 'contingent': False, 'kennedy': False, 'family': False, 'orders': False, 'ireland': False, 'relatives': False, 'exploit': False, 'soon': False, 'learns': False, 'said': False, 'done': False, 'mantra': False, 'tiny': False, 'misses': False, 'bus': False, 'hotel': False, 'ends': False, 'smallest': False, 'trashiest': False, 'dog': False, 'luggage': False, 'roger': False, 'ebert': False, 'calls': False, 'meet': False, 'happens': False, 'unconventional': False, 'cinematic': False, 'walks': False, 'bathroom': False, 'nude': False, 'sean': False, 'david': False, 'hara': False, 'bathtub': False, 'points': False, 'guessing': False, 'water': False, 'hates': False, 'instant': False, 'saw': False, 'irishman': False, 'hate': False, 'awhile': False, 'succumb': False, 'charms': False, 'happily': False, 'superficial': False, 'detail': False, 'throw': False, 'turmoil': False, 'reconcile': False, 'tune': False, 'annual': False, 'matchmaking': False, 'festival': False, 'lonely': False, 'county': False, 'future': False, 'bliss': False, 'milo': False, 'shea': False, 'snyder': False, 'pops': False, 'onscreen': False, 'spew': False, 'souls': False, 'assured': False, 'match': False, 'utter': False, 'predictability': False, 'message': False, 'respectable': False, 'person': False, 'comedic': False, 'distinction': False, 'sell': False, 'script': False, 'excited': False, 'stays': False, 'stateside': False, 'yelling': False, 'phone': False, 'undoes': False, 'microphone': False, 'speech': False, 'known': False, 'flying': False, 'hong': False, 'kong': False, 'style': False, 'filmmaking': False, 'classics': False, 'nod': False, 'asia': False, 'france': False, 'lukewarm': False, 'dumas': False, 'asian': False, 'stunt': False, 'coordinator': False, 'xing': False, 'xiong': False, 'prior': False, 'attempts': False, 'choreography': False, 'laughable': False, 'van': False, 'damme': False, 'vehicle': False, 'team': False, 'dennis': False, 'rodman': False, 'simon': False, 'sez': False, 'thrown': False, 'air': False, 'result': False, 'tepid': False, 'adventure': False, 'rip': False, 'stinks': False, 'indiana': False, 'jones': False, 'simple': False, 'grandmother': False, 'adapted': False, 'artagnan': False, 'vengeful': False, 'son': False, 'slain': False, 'travels': False, 'paris': False, 'join': False, 'royal': False, 'meets': False, 'cunning': False, 'cardinal': False, 'richelieu': False, 'stephen': False, 'rea': False, 'overthrow': False, 'associate': False, 'febre': False, 'killer': False, 'disbanded': False, 'rounds': False, 'aramis': False, 'nick': False, 'moran': False, 'athos': False, 'jan': False, 'gregor': False, 'kremp': False, 'porthos': False, 'steven': False, 'spiers': False, 'wrongfully': False, 'imprisoned': False, 'leader': False, 'treville': False, 'prison': False, 'frisky': False, 'interest': False, 'chambermaid': False, 'francesca': False, 'footsy': False, 'coo': False, 'hunts': False, 'queen': False, 'captured': False, 'menancing': False, 'forcing': False, 'regroup': False, 'leading': False, 'charge': False, 'peter': False, 'hyams': False, 'wanted': False, 'blend': False, 'eastern': False, 'western': False, 'styles': False, 'disaster': False, 'reality': False, 'ones': False, 'jet': False, 'li': False, 'risk': False, 'ironically': False, 'swordplay': False, 'spread': False, 'carry': False, 'bulk': False, '30': False, 'minute': False, 'picture': False, 'weighs': False, 'monotonous': False, 'gene': False, 'quintano': False, 'prosaic': False, 'wedding': False, 'planner': False, 'mousy': False, 'artangnan': False, 'hyam': False, 'candles': False, 'torches': False, 'grime': False, 'filth': False, '17th': False, 'noted': False, 'standout': False, 'mortal': False, 'kombat': False, 'annihilation': False, 'reviewed': False, 'multiple': False, 'levels': False, 'rampant': False, 'usage': False, 'randian': False, 'subtext': False, 'pervades': False, 'occasionaly': False, 'ironic': False, 'depreciating': False, 'remark': False, 'tosses': False, 'clearly': False, 'marxist': False, 'imagery': False, 'kidding': False, 'seriousness': False, 'fair': False, '*': False, 'necessary': False, 'viewpoints': False, 'watcher': False, 'unfamiliar': False, 'marginally': False, 'fan': False, 'games': False, '1995': False, 'concerned': False, 'martial': False, 'arts': False, 'tournament': False, 'decide': False, 'fate': False, 'billion': False, 'inhabitants': False, 'mortals': False, 'theory': False, 'prevented': False, 'emperor': False, 'shao': False, 'khan': False, 'arriving': False, 'ready': False, 'assumed': False, 'stance': False, 'extraordinarily': False, 'myself': False, 'game': False, 'enjoyed': False, 'directors': False, 'knew': False, 'limitations': False, 'try': False, 'overachieve': False, 'accompanying': False, 'intersperesed': False, 'distracting': False, 'non': False, 'intrusive': False, 'bits': False, 'fluff': False, 'passing': False, 'smashing': False, 'success': False, 'box': False, 'office': False, 'picks': False, 'precisely': False, 'introductory': False, 'exposition': False, 'anyways': False, 'hell': False, 'silly': False, 'rule': False, 'winning': False, 'thereafter': False, 'approximately': False, '85': False, 'alternates': False, 'general': False, 'impression': False, 'producers': False, 'thought': False, 'formula': False, 'volumes': False, 'truly': False, 'sandra': False, 'hess': False, 'sonya': False, 'blade': False, 'execrable': False, 'convince': False, 'loved': False, 'johnny': False, 'greased': False, 'worst': False, 'mis': False, 'james': False, 'remar': False, 'raiden': False, 'thunder': False, 'christopher': False, 'lambert': False, 'japanese': False, 'revered': False, 'chinese': False, 'mystics': False, 'against': False, 'lister': False, 'jr': False, 'president': False, 'u': False, 'fifth': False, 'utility': False, 'totally': False, 'luxury': False, 'amused': False, 'awareness': False, 'introduced': False, 'meaningless': False, 'sidetracks': False, 'including': False, 'muddled': False, 'liu': False, 'kang': False, 'shou': False, 'seeks': False, 'nightwolf': False, 'litefoot': False, 'mystical': False, 'hallucination': False, 'jade': False, 'irina': False, 'pantaeva': False, 'reasons': False, 'unless': False, 'critiques': False, 'apply': False, 'worse': False, 'bridgette': False, 'convincing': False, 'looked': False, 'mimicing': False, 'movements': False, 'choreographer': False, 'knows': False, 'puts': False, 'believable': False, 'jax': False, 'earthquake': False, 'animality': False, 'bonus': False, 'similar': False, 'moves': False, 'mistakenly': False, 'hang': False, 'lamest': False, 'involved': False, 'mud': False, 'wrestling': False, 'lame': False, 'politically': False, 'incorrect': False, 'noticed': False, 'remarked': False, 'upon': False, 'emporer': False, 'perform': False, 'animalities': False, 'motaro': False, 'sheeva': False, 'lifelike': False, 'goro': False, 'enjoy': False, 'femme': False, 'la': False, 'nikita': False, 'backdraft': False, 'sliver': False, 'cindy': False, 'crawford': False, 'anne': False, 'parillaud': False, 'conspire': False, 'shattered': False, 'image': False, 'hooey': False, 'stallone': False, 'stone': False, 'specialist': False, 'poses': False, 'recurring': False, 'assassin': False, 'honeymooning': False, 'jamaica': False, 'believe': False, 'runs': False, 'painful': False, 'pedestrian': False, 'siouxsie': False, 'sioux': False, 'wig': False, 'emotionless': False, 'leather': False, 'clothing': False, 'seattle': False, 'moping': False, 'karen': False, 'endlessly': False, 'complicated': False, 'plots': False, 'helps': False, 'crisp': False, 'modicum': False, 'shakespearean': False, 'begin': False, 'saddled': False, 'leaden': False, 'zero': False, 'breaking': False, 'cardboard': False, 'confines': False, 'insist': False, 'couldn': False, 'huh': False, 'wonderful': False, 'interchange': False, 'charm': False, 'faster': False, 'learned': False, 'cereal': False, 'crybaby': False, 'imagines': False, 'stranger': False, 'sends': False, 'flowers': False, 'chromium': False, 'tough': False, 'nails': False, 'crack': False, 'killing': False, 'machine': False, 'shoots': False, 'mirrors': False, 'stock': False, 'interested': False, 'nest': False, 'egg': False, 'pave': False, 'paradise': False, 'put': False, 'parking': False, 'graham': False, 'greene': False, 'barbet': False, 'schroeder': False, 'reversal': False, 'fortune': False, 'co': False, 'produced': False, 'agonizingly': False, 'b': False, 'york': False, 'vampires': False, 'latest': False, 'opus': False, 'bent': False, 'outing': False, 'aptly': False, 'titled': False, 'suppose': False, 'went': False, 'prefixed': False, 'possessive': False, 'unashamed': False, 'punctuated': False, 'above': False, 'storyline': False, 'borders': False, 'idiotic': False, 'chaotic': False, 'dormant': False, 'martians': False, 'swirling': False, 'gases': False, 'awakened': False, 'meddling': False, 'possess': False, 'hapless': False, 'colonists': False, 'testy': False, 'marilyn': False, 'manson': False, 'lookalikes': False, 'pooh': False, 'bah': False, 'counsel': False, 'official': False, 'melanie': False, 'ballard': False, 'natasha': False, 'henstridge': False, 'sub': False, 'species': False, 'returnee': False, 'officer': False, 'incarcerated': False, 'felon': False, 'second': False, 'blonde': False, 'pulled': False, 'tightly': False, 'awkwardly': False, 'ponytail': False, 'ice': False, 'cube': False, 'appropriately': False, 'named': False, 'pam': False, 'grier': False, 'briefly': False, 'whom': False, 'wonder': False, 'host': False, 'extras': False, 'therefore': False, 'bird': False, 'shots': False, 'sprawling': False, 'metropolis': False, 'reddish': False, 'state': False, 'art': False, 'trademark': False, 'finding': False, 'department': False, 'lock': False, 'laughing': False, 'barrel': False, 'fare': False, 'dingy': False, 'interiors': False, 'cluttered': False, 'exteriors': False, 'inane': False, 'lots': False, 'scarred': False, 'crazed': False, 'aliens': False, 'weaponry': False, 'warfare': False, 'warning': False, 'spontaneously': False, 'stupidly': False, 'villains': False, 'border': False, 'conflicts': False, 'shootouts': False, 'minus': False, 'hissing': False, 'plissken': False, 'miss': False, 'dubbed': False, 'minimalist': False, 'soundtracks': False, 'graduated': False, 'effective': False, 'scoring': False, 'highlighting': False, 'screeching': False, 'guitar': False, 'fortunately': False, 'drowns': False, 'er': False, 'audible': False, 'priceless': False, 'proven': False, 'infertile': False, 'breeding': False, 'ground': False, 'stillborn': False, 'val': False, 'kilmer': False, 'disappointing': False, 'weekend': False, 'overshadowed': False, 'sequels': False, 'among': False, 'pie': False, 'rush': False, 'absent': False, 'references': False, 'set': False, 'perth': False, 'amboys': False, 'closest': False, 'neighbor': False, 'slap': False, 'upside': False, '1': False, 'keeps': False, 'miraculously': False, 'pretend': False, 'means': False, 'intelligent': False, 'grade': False, 'sci': False, 'fi': False, 'singularly': False, 'luck': False, 'starting': False, 'alicia': False, 'silverstone': False, 'beautiful': False, 'creatures': False, 'green': False, 'critic': False, 'large': False, 'choosing': False, 'strikes': False, 'crush': False, 'slow': False, 'moving': False, 'horrific': False, 'adaptation': False, 'clueless': False, 'mailed': False, 'saying': False, 'theater': False, 'expecting': False, 'preview': False, 'crazymadinlove': False, 'whiny': False, 'unlikable': False, 'wasn': False, 'yelled': False, 'f': False, '$&#': False, 'laugh': False, 'agreement': False, 'walked': False, 'babysitter': False, 'inner': False, 'compulsion': False, 'understand': False, 'rent': False, 'regret': False, 'paragraph': False, 'competition': False, 'criticizing': False, 'thin': False, 'shred': False, 'slower': False, 'glacier': False, 'writing': False, 'appeal': False, 'whatsoever': False, 'pointlessly': False, 'concluded': False, 'violent': False, 'plus': False, 'equals': False, 'spends': False, 'twenty': False, 'bubble': False, 'bath': False, 'joined': False, 'four': False, 'features': False, 'settle': False, 'friday': False, 'cocktail': False, 'automatically': False, 'nights': False, 'trods': False, 'discover': False, 'silent': False, 'object': False, 'male': False, 'fantasies': False, 'thinks': False, 'recapture': False, 'youth': False, 'boyfriend': False, 'lets': False, 'wild': False, 'spying': False, 'outside': False, 'prepubescent': False, 'keyhole': False, 'aged': False, 'counterpart': False, 'asked': False, '200': False, 'pound': False, 'silk': False, 'teddy': False, 'fanatasies': False, 'realm': False, 'pg': False, 'imagine': False, 'cinemax': False, 'staple': False, 'absolutely': False, 'pointed': False, 'classify': False, 'mix': False, 'various': False, 'encounters': False, 'third': False, 'space': False, 'odyssey': False, 'apollo': False, 'contact': False, 'hope': False, 'melange': False, 'considering': False, 'disastrous': False, 'results': False, 'sucks': False, 'rescue': False, 'astronauts': False, 'sent': False, '2020': False, 'unknown': False, 'aviators': False, 'visit': False, 'underwhelming': False, 'describe': False, 'uneven': False, 'promise': False, 'buzz': False, 'neutral': False, 'cherry': False, 'colored': False, 'nerdies': False, 'techie': False}\n"
     ]
    }
   ],
   "source": [
    "#Words as features for learning\n",
    "import nltk\n",
    "import random\n",
    "from nltk.corpus import movie_reviews\n",
    "\n",
    "documents= [(list(movie_reviews.words(fileid)),category)\n",
    "             for category in movie_reviews.categories()\n",
    "             for fileid in movie_reviews.fileids(category)]\n",
    "\n",
    "\n",
    "# random.shuffle(documents)\n",
    "\n",
    "all_words=[]\n",
    "for w in movie_reviews.words():\n",
    "    all_words.append(w.lower())\n",
    "    \n",
    "all_words=nltk.FreqDist(all_words)\n",
    "\n",
    "word_features=list(all_words.keys())[:3000]\n",
    "\n",
    "def find_features(document):\n",
    "    words=set(document)\n",
    "    features={}\n",
    "    for w in word_features:\n",
    "        features[w]=(w in words)\n",
    "    return features\n",
    "print((find_features(movie_reviews.words('neg/cv000_29416.txt'))))\n",
    "\n",
    "featuresets=[(find_features(rev),category) for(rev,category) in documents]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive bayes algo accuracy: 77.0\n",
      "Most Informative Features\n",
      "                 idiotic = True              neg : pos    =     12.1 : 1.0\n",
      "                  annual = True              pos : neg    =     10.7 : 1.0\n",
      "               atrocious = True              neg : pos    =     10.5 : 1.0\n",
      "                   sucks = True              neg : pos    =      9.5 : 1.0\n",
      "                 frances = True              pos : neg    =      9.3 : 1.0\n",
      "           unimaginative = True              neg : pos    =      7.5 : 1.0\n",
      "                 cunning = True              pos : neg    =      7.0 : 1.0\n",
      "                  sexist = True              neg : pos    =      6.9 : 1.0\n",
      "             silverstone = True              neg : pos    =      6.9 : 1.0\n",
      "                  regard = True              pos : neg    =      6.9 : 1.0\n",
      "              schumacher = True              neg : pos    =      6.7 : 1.0\n",
      "                  suvari = True              neg : pos    =      6.3 : 1.0\n",
      "                    mena = True              neg : pos    =      6.3 : 1.0\n",
      "                  shoddy = True              neg : pos    =      6.3 : 1.0\n",
      "                 singers = True              pos : neg    =      6.3 : 1.0\n"
     ]
    }
   ],
   "source": [
    "#Naive Bayes of nltk\n",
    "training_set=featuresets[:1900]\n",
    "testing_set=featuresets[1900:]\n",
    "classifier=nltk.NaiveBayesClassifier.train(training_set)\n",
    "print('Naive bayes algo accuracy:',(nltk.classify.accuracy(classifier,testing_set))*100)\n",
    "classifier.show_most_informative_features(15)      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive bayes algo accuracy: 77.0\n",
      "Most Informative Features\n",
      "                 idiotic = True              neg : pos    =     12.1 : 1.0\n",
      "                  annual = True              pos : neg    =     10.7 : 1.0\n",
      "               atrocious = True              neg : pos    =     10.5 : 1.0\n",
      "                   sucks = True              neg : pos    =      9.5 : 1.0\n",
      "                 frances = True              pos : neg    =      9.3 : 1.0\n",
      "           unimaginative = True              neg : pos    =      7.5 : 1.0\n",
      "                 cunning = True              pos : neg    =      7.0 : 1.0\n",
      "                  sexist = True              neg : pos    =      6.9 : 1.0\n",
      "             silverstone = True              neg : pos    =      6.9 : 1.0\n",
      "                  regard = True              pos : neg    =      6.9 : 1.0\n",
      "              schumacher = True              neg : pos    =      6.7 : 1.0\n",
      "                  suvari = True              neg : pos    =      6.3 : 1.0\n",
      "                    mena = True              neg : pos    =      6.3 : 1.0\n",
      "                  shoddy = True              neg : pos    =      6.3 : 1.0\n",
      "                 singers = True              pos : neg    =      6.3 : 1.0\n"
     ]
    }
   ],
   "source": [
    "#Save classifier with pickle\n",
    "import pickle\n",
    "save_classifier=open(\"naivebayes.pickle\",'wb')\n",
    "pickle.dump(classifier,save_classifier)\n",
    "save_classifier.close()\n",
    "\n",
    "#opening saved classifier\n",
    "cf=open('naivebayes.pickle','rb')\n",
    "classifier=pickle.load(cf)\n",
    "cf.close()\n",
    "\n",
    "print('Naive bayes algo accuracy:',(nltk.classify.accuracy(classifier,testing_set))*100)\n",
    "\n",
    "classifier.show_most_informative_features(15)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MNB_classifier accuracy percent: 77.0\n",
      "BernoulliNB accuracy percent: 77.0\n",
      "LogisticRegression accuracy percent: 80.0\n",
      "SGDClassifier accuracy percent: 68.0\n",
      "SVC classifier accuracy percent: 57.99999999999999\n",
      "LinearSVC accuracy percent: 81.0\n",
      "NuSVC accuracy percent: 80.0\n"
     ]
    }
   ],
   "source": [
    "#Scikit Learn incorporation with nltk\n",
    "from nltk.classify.scikitlearn import SklearnClassifier\n",
    "from sklearn.naive_bayes import MultinomialNB, GaussianNB, BernoulliNB\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression, SGDClassifier\n",
    "from sklearn.svm import SVC, LinearSVC, NuSVC\n",
    "\n",
    "MNB_classifier=SklearnClassifier(MultinomialNB())\n",
    "MNB_classifier.train(training_set)\n",
    "print('MNB_classifier accuracy percent:',(nltk.classify.accuracy(MNB_classifier,testing_set))*100)\n",
    "\n",
    "# GaussianNB_classifier=SklearnClassifier(GaussianNB())\n",
    "# GaussianNB_classifier.train(training_set)\n",
    "# print('GaussianNB accuracy percent:',(nltk.classify.accuracy(GaussianNB_classifier,testing_set))*100)\n",
    "\n",
    "BernoulliNB_classifier=SklearnClassifier(BernoulliNB())\n",
    "BernoulliNB_classifier.train(training_set)\n",
    "print('BernoulliNB accuracy percent:',(nltk.classify.accuracy(BernoulliNB_classifier,testing_set))*100)\n",
    "\n",
    "LogisticRegression_classifier=SklearnClassifier(LogisticRegression())\n",
    "LogisticRegression_classifier.train(training_set)\n",
    "print('LogisticRegression accuracy percent:',(nltk.classify.accuracy(LogisticRegression_classifier,testing_set))*100)\n",
    "\n",
    "\n",
    "SGDClassifier_classifier=SklearnClassifier(SGDClassifier())\n",
    "SGDClassifier_classifier.train(training_set)\n",
    "print('SGDClassifier accuracy percent:',(nltk.classify.accuracy(SGDClassifier_classifier,testing_set))*100)\n",
    "\n",
    "\n",
    "SVC_classifier=SklearnClassifier(SVC())\n",
    "SVC_classifier.train(training_set)\n",
    "print('SVC classifier accuracy percent:',(nltk.classify.accuracy(SVC_classifier,testing_set))*100)\n",
    "\n",
    "\n",
    "LinearSVC_classifier=SklearnClassifier(LinearSVC())\n",
    "LinearSVC_classifier.train(training_set)\n",
    "print('LinearSVC accuracy percent:',(nltk.classify.accuracy(LinearSVC_classifier,testing_set))*100)\n",
    "\n",
    "\n",
    "NuSVC_classifier=SklearnClassifier(NuSVC())\n",
    "NuSVC_classifier.train(training_set)\n",
    "print('NuSVC accuracy percent:',(nltk.classify.accuracy(NuSVC_classifier,testing_set))*100)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Voted classifier accuracy is <__main__.VoteClassifier object at 0x11f8a09e8>\n"
     ]
    }
   ],
   "source": [
    "#Investing Bias\n",
    "# Copy from the youtube link\n",
    "from nltk.classify import ClassifierI\n",
    "class VoteClassifier(ClassifierI):\n",
    "    def __init__(self, *classifiers):\n",
    "        self._classifiers=classifiers\n",
    "        \n",
    "    def classify(self,features):\n",
    "        votes=[]\n",
    "        for c in self._classifiers:\n",
    "            v=c.classify(features)\n",
    "            votes.append(v)\n",
    "            return mode(votes)\n",
    "        \n",
    "    def confidence(self,features):\n",
    "        votes=[]\n",
    "        for c in self._classifiers:\n",
    "            v=c.classify(features)\n",
    "            votes.append(v)\n",
    "            \n",
    "        choice_votes=votes.count(mode(votes))\n",
    "        conf=choice_votes/ len(votes)\n",
    "        return conf\n",
    "\n",
    "voted_classifier=VoteClassifier(MNB_classifier, GaussianNB_classifier, BernoulliNB_classifier, LogisticRegression_classifier, SGDClassifier_classifier, SVC_classifier, LinearSVC_classifier, NuSVC_classifier)\n",
    "print('Voted classifier accuracy is',voted_classifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Better trainig data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10664\n",
      "Original Naive Bayes Algo accuracy percent: 74.24698795180723\n",
      "Most Informative Features\n",
      "                    flat = True              neg : pos    =     22.2 : 1.0\n",
      "              engrossing = True              pos : neg    =     19.8 : 1.0\n",
      "                  boring = True              neg : pos    =     19.3 : 1.0\n",
      "                 generic = True              neg : pos    =     16.9 : 1.0\n",
      "                mediocre = True              neg : pos    =     16.2 : 1.0\n",
      "               inventive = True              pos : neg    =     15.1 : 1.0\n",
      "                 routine = True              neg : pos    =     14.9 : 1.0\n",
      "               wonderful = True              pos : neg    =     13.1 : 1.0\n",
      "                powerful = True              pos : neg    =     13.1 : 1.0\n",
      "                    warm = True              pos : neg    =     12.7 : 1.0\n",
      "              refreshing = True              pos : neg    =     12.4 : 1.0\n",
      "                  stupid = True              neg : pos    =     11.3 : 1.0\n",
      "                mindless = True              neg : pos    =     10.9 : 1.0\n",
      "                   stale = True              neg : pos    =     10.9 : 1.0\n",
      "                    dull = True              neg : pos    =     10.5 : 1.0\n",
      "MNB_classifier accuracy percent: 74.3975903614458\n",
      "BernoulliNB_classifier accuracy percent: 74.3975903614458\n",
      "LogisticRegression_classifier accuracy percent: 72.89156626506023\n",
      "LinearSVC_classifier accuracy percent: 70.03012048192771\n",
      "SGDClassifier accuracy percent: 69.87951807228916\n"
     ]
    }
   ],
   "source": [
    "#Sentiment Analysis Module\n",
    "import nltk\n",
    "import random\n",
    "#from nltk.corpus import movie_reviews\n",
    "from nltk.classify.scikitlearn import SklearnClassifier\n",
    "import pickle\n",
    "from sklearn.naive_bayes import MultinomialNB, BernoulliNB\n",
    "from sklearn.linear_model import LogisticRegression, SGDClassifier\n",
    "from sklearn.svm import SVC, LinearSVC, NuSVC\n",
    "from nltk.classify import ClassifierI\n",
    "from statistics import mode\n",
    "from nltk.tokenize import word_tokenize\n",
    "\n",
    "\n",
    "\n",
    "class VoteClassifier(ClassifierI):\n",
    "    def __init__(self, *classifiers):\n",
    "        self._classifiers = classifiers\n",
    "\n",
    "    def classify(self, features):\n",
    "        votes = []\n",
    "        for c in self._classifiers:\n",
    "            v = c.classify(features)\n",
    "            votes.append(v)\n",
    "        return mode(votes)\n",
    "\n",
    "    def confidence(self, features):\n",
    "        votes = []\n",
    "        for c in self._classifiers:\n",
    "            v = c.classify(features)\n",
    "            votes.append(v)\n",
    "\n",
    "        choice_votes = votes.count(mode(votes))\n",
    "        conf = choice_votes / len(votes)\n",
    "        return conf\n",
    "    \n",
    "short_pos = open(\"positive.txt\",\"r\",encoding='latin-1').read()\n",
    "short_neg = open(\"negative.txt\",\"r\",encoding='latin-1').read()\n",
    "\n",
    "# move this up here\n",
    "all_words = []\n",
    "documents = []\n",
    "\n",
    "\n",
    "#  j is adject, r is adverb, and v is verb\n",
    "#allowed_word_types = [\"J\",\"R\",\"V\"]\n",
    "allowed_word_types = [\"J\"]\n",
    "\n",
    "for p in short_pos.split('\\n'):\n",
    "    documents.append( (p, \"pos\") )\n",
    "    words = word_tokenize(p)\n",
    "    pos = nltk.pos_tag(words)\n",
    "    for w in pos:\n",
    "        if w[1][0] in allowed_word_types:\n",
    "            all_words.append(w[0].lower())\n",
    "\n",
    "    \n",
    "for p in short_neg.split('\\n'):\n",
    "    documents.append( (p, \"neg\") )\n",
    "    words = word_tokenize(p)\n",
    "    pos = nltk.pos_tag(words)\n",
    "    for w in pos:\n",
    "        if w[1][0] in allowed_word_types:\n",
    "            all_words.append(w[0].lower())\n",
    "\n",
    "\n",
    "\n",
    "save_documents = open(\"documents.pickle\",\"wb\")\n",
    "pickle.dump(documents, save_documents)\n",
    "save_documents.close()\n",
    "\n",
    "\n",
    "all_words = nltk.FreqDist(all_words)\n",
    "\n",
    "\n",
    "word_features = list(all_words.keys())[:5000]\n",
    "\n",
    "\n",
    "save_word_features = open(\"word_features5k.pickle\",\"wb\")\n",
    "pickle.dump(word_features, save_word_features)\n",
    "save_word_features.close()\n",
    "\n",
    "\n",
    "def find_features(document):\n",
    "    words = word_tokenize(document)\n",
    "    features = {}\n",
    "    for w in word_features:\n",
    "        features[w] = (w in words)\n",
    "\n",
    "    return features\n",
    "\n",
    "featuresets = [(find_features(rev), category) for (rev, category) in documents]\n",
    "save_features=open('featuresets.pickle','wb')\n",
    "pickle.dump(featuresets,save_features)\n",
    "save_features.close()\n",
    "\n",
    "random.shuffle(featuresets)\n",
    "print(len(featuresets))\n",
    "\n",
    "testing_set = featuresets[10000:]\n",
    "training_set = featuresets[:10000]\n",
    "\n",
    "\n",
    "classifier = nltk.NaiveBayesClassifier.train(training_set)\n",
    "print(\"Original Naive Bayes Algo accuracy percent:\", (nltk.classify.accuracy(classifier, testing_set))*100)\n",
    "classifier.show_most_informative_features(15)\n",
    "\n",
    "###############\n",
    "save_classifier = open(\"originalnaivebayes5k.pickle\",\"wb\")\n",
    "pickle.dump(classifier, save_classifier)\n",
    "save_classifier.close()\n",
    "\n",
    "MNB_classifier = SklearnClassifier(MultinomialNB())\n",
    "MNB_classifier.train(training_set)\n",
    "print(\"MNB_classifier accuracy percent:\", (nltk.classify.accuracy(MNB_classifier, testing_set))*100)\n",
    "\n",
    "save_classifier = open(\"MNB_classifier5k.pickle\",\"wb\")\n",
    "pickle.dump(MNB_classifier, save_classifier)\n",
    "save_classifier.close()\n",
    "\n",
    "BernoulliNB_classifier = SklearnClassifier(BernoulliNB())\n",
    "BernoulliNB_classifier.train(training_set)\n",
    "print(\"BernoulliNB_classifier accuracy percent:\", (nltk.classify.accuracy(BernoulliNB_classifier, testing_set))*100)\n",
    "\n",
    "save_classifier = open(\"BernoulliNB_classifier5k.pickle\",\"wb\")\n",
    "pickle.dump(BernoulliNB_classifier, save_classifier)\n",
    "save_classifier.close()\n",
    "\n",
    "LogisticRegression_classifier = SklearnClassifier(LogisticRegression())\n",
    "LogisticRegression_classifier.train(training_set)\n",
    "print(\"LogisticRegression_classifier accuracy percent:\", (nltk.classify.accuracy(LogisticRegression_classifier, testing_set))*100)\n",
    "\n",
    "save_classifier = open(\"LogisticRegression_classifier5k.pickle\",\"wb\")\n",
    "pickle.dump(LogisticRegression_classifier, save_classifier)\n",
    "save_classifier.close()\n",
    "\n",
    "\n",
    "LinearSVC_classifier = SklearnClassifier(LinearSVC())\n",
    "LinearSVC_classifier.train(training_set)\n",
    "print(\"LinearSVC_classifier accuracy percent:\", (nltk.classify.accuracy(LinearSVC_classifier, testing_set))*100)\n",
    "\n",
    "save_classifier = open(\"LinearSVC_classifier5k.pickle\",\"wb\")\n",
    "pickle.dump(LinearSVC_classifier, save_classifier)\n",
    "save_classifier.close()\n",
    "\n",
    "\n",
    "##NuSVC_classifier = SklearnClassifier(NuSVC())\n",
    "##NuSVC_classifier.train(training_set)\n",
    "##print(\"NuSVC_classifier accuracy percent:\", (nltk.classify.accuracy(NuSVC_classifier, testing_set))*100)\n",
    "\n",
    "\n",
    "SGDC_classifier = SklearnClassifier(SGDClassifier())\n",
    "SGDC_classifier.train(training_set)\n",
    "print(\"SGDClassifier accuracy percent:\",nltk.classify.accuracy(SGDC_classifier, testing_set)*100)\n",
    "\n",
    "save_classifier = open(\"SGDC_classifier5k.pickle\",\"wb\")\n",
    "pickle.dump(SGDC_classifier, save_classifier)\n",
    "save_classifier.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('neg', 0.6)\n",
      "('neg', 1.0)\n"
     ]
    }
   ],
   "source": [
    "#Trying out sentiment module\n",
    "import sentiment_mod as s\n",
    "print(s.sentiment(\"A shameless cash grab, the movie is absolutely mercenary in its approach to eliciting screams; there’s an almost admirable mean-spiritedness to its tactics.\"))\n",
    "print(s.sentiment(\"This movie was utter junk. There were absolutely 0 pythons. I don't see what the point was at all. Horrible movie, 0/10\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Happy Eclipse Day! Be safe.', 'pos', 1.0)\n",
      "('RT @LiamPaulCanning: Mauricio Pochettino: “We were better than Chelsea. I am happy to lose that way.”\\n\\nAwful, losing mentality. Very poor.', 'neg', 1.0)\n",
      "('RT @MagdaMeghy: @marienassar_ Happy new week, Marie. Have a nice day 🌺', 'pos', 1.0)\n",
      "(\"@salazarsoph Happy birthday, Shin! 🎉 May you be blessed with your heart's desires 😊 Hope you're having an amazing day! Much love 💛\", 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @GeorgieStunts: Not quite the start to the morning I expected! #morning #loosehorse #thatsmygarden! #happy #naughtyboy @easibed… ', 'pos', 1.0)\n",
      "('@indiaforums @BarunSobtiSays @TheBarunSobti @BarunsAngels @BarunSobtiTurky @BarunSobtiPage @BarunSobtiifc… https://t.co/ZabudkmdlD', 'neg', 1.0)\n",
      "('RT @BarcaNewsForum: Barcelona full-back Aleix Vidal celebrates his 28th Birthday today. Happy Birthday!! #Aleix28 https://t.co/5vsw8jjabk', 'neg', 1.0)\n",
      "('Happy tummy is a basic of the happiness~ https://t.co/SWxTMsmp3z', 'neg', 0.8)\n",
      "('RT @TynaNarteh: Is she not deserving of Doc? Happy #SamiraDay @macavali20 @skkutu @Clickmanteaw @lentsuah @flagstaffghana… ', 'pos', 0.8)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @GPinkSnapback: i AM SO FREAKiN HAPPY OMG i HOPE HE LOVED iT https://t.co/XzWvATyQQ9', 'neg', 1.0)\n",
      "('First day of school another month it make that pop been gone suppose to be dumb happy about out senior year 💯', 'neg', 1.0)\n",
      "('14 QUOTES ABOUT HAPPINESS THAT WILL MAKE YOUR DAY - https://t.co/umId0Z9huE https://t.co/rx65jkXBYK', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @superselnella26: And we are all excited na. Happy Morning po :)))))\\n\\n#PushAwardsElNellas https://t.co/SCy02QWcpA', 'neg', 1.0)\n",
      "('happy 8th monthsary guys!! sorry ia busy sa school :( staystrong guys love you all 😘😘 @nonamesquad_', 'neg', 0.8)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @wolfalicemusic: So happy to announce we will be joined by @Sunflower_Bean and @superfoodjunk on tour in November. Get your tickets:… ', 'pos', 1.0)\n",
      "('RT @depthed: My only goal in life right now is to be happy. Genuinely, intensely, and consistently happy, regardless of what that looks lik…', 'pos', 1.0)\n",
      "('RT @WordMsgs: Happy moments: Praise God\\n\\nDifficult moments: Seek God\\n\\nQuiet moments: Worship God\\n\\nDifficult moments: Trust God\\n\\nEvery momen…', 'neg', 1.0)\n",
      "(\"@hannespurpose happy birthday sis, hope you have an amazing day, love you sooo much though you're annoying grateful… https://t.co/a8dATwLznx\", 'pos', 1.0)\n",
      "('bitches be acting happy for you but be wishing on ur downfall the whole time', 'pos', 0.6)\n",
      "('@madhusharmabjp @BJP4India @VijayaRahatkar @IKaransharma27 @narendramodi_FC @sengarajay235 @praveen_bajpai… https://t.co/PMhpfGBYQ7', 'neg', 1.0)\n",
      "('RT @worksoptownfc: Happy Monday 🐯\\n\\nBack in action again tomorrow night in the Sandy Lane Derby ⚽️\\n\\nHP = WW\\nWTFC = WWW\\n\\nGuaranteed goal… ', 'neg', 1.0)\n",
      "('RT @BleedPawanizm: Tag enti...trend eppudu starto chepte...udata bhakti kinda mem kuda oka 10 tweetlu estam \\n\\nHappy birthday chiranjeevi', 'neg', 1.0)\n",
      "('Happy birthday @rachaelwaalker have a brilliant day today and hope you enjoyed Saturday 👏🏽 it was a good one 😘 xx', 'pos', 1.0)\n",
      "('RT @PaulieMeAtSix: amidst this complication-filled life of mine, i think i deserve to be happy? even just for a short while?', 'pos', 1.0)\n",
      "(\"Happy birthday to @GeorgeeBlunden who's one of the nicest people ever, have a brilliant day! X https://t.co/2mTzkAjFlc\", 'pos', 1.0)\n",
      "(\"RT @nodrohzomono: I'm happy for you. From far away.\", 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @LeadToday: Your happiness begins with a decision to be happy! https://t.co/PNBkAE56di', 'pos', 1.0)\n",
      "('@DutraWeather good morning Greg happy Monday', 'pos', 1.0)\n",
      "('RT @GPinkSnapback: i AM SO FREAKiN HAPPY OMG i HOPE HE LOVED iT https://t.co/XzWvATyQQ9', 'neg', 1.0)\n",
      "(\"RT @adoringoli: all he wants to do is stop hate by highlighting people's best qualities and making others happy by spreading love what a gr…\", 'pos', 1.0)\n",
      "('RT @B_The_Hungarian: @Oloni Gave the man I love advice on how to save his relationship with another woman \"I just want him to be happy e… ', 'pos', 1.0)\n",
      "('Happy anniversary Brett!!! To many more years of success #TeamCanesWear https://t.co/aU4fzNh9bP', 'neg', 0.6)\n",
      "('jvoudrais un happy meal nuggets potetoes', 'pos', 0.8)\n",
      "(\"RT @jeonsrush: YO look at all the gifts jungkook will get, he's gonna be so happy and there's even VICTORIA'S SECRET stuff i'm 💓💖💝… \", 'pos', 1.0)\n",
      "(\"Happy first day of class, people! I'll be thinking of you as I soak up this last week of summer break by doing absolutely nothing.\", 'neg', 1.0)\n",
      "('RT @FeelGoodContact: Happy #FreebieFriday! Follow and RT for a chance to #win £10 Amazon #FridayFeeling #competition! https://t.co/CL6jvsTm…', 'neg', 1.0)\n",
      "(\"@GraysonDolan Literally , I love you guys sooo much, You guys make me soo happy , if i'm upset i'll just watch your videos andi'll be happy\", 'pos', 0.8)\n",
      "('RT @thirdbike: @witchmachine HAPPY BIRTHDAY !!!!!! 🎉🎉🎉🎉🎉🎉', 'neg', 1.0)\n",
      "('RT @ndux_m: Really hate this. https://t.co/Y2ZTRhAtWt', 'neg', 1.0)\n",
      "('@ChrisGPackham @TKMaxx_UK Happy to RT Mr Packham. Hope certain nasties have given up on fight to get you off BBC. K… https://t.co/3a6Df5CUpE', 'pos', 1.0)\n",
      "(\"RT @extensiveIy: it's so crazy how being around someone who makes you happy gets you to forget about the problems you have for a while\", 'pos', 1.0)\n",
      "('RT @MiriamShehu: Happy married life Sammy😉🙅 https://t.co/ak0lMtfwVY', 'neg', 0.6)\n",
      "('RT @Celine_JKT48: Happy Independence day Indonesia😄😄 terima kasih Indonesia sudah membiarkan Celine tinggal di Indonesia😊😊 Celine sayang In…', 'neg', 1.0)\n",
      "('RT @kanjani8: Maru: Lately, who were you really happy to see?\\n\\nLiterally all the fans: YOU!\\n\\nGrateful to exist in the same time.\\n\\n#丸の大切な日 🍊', 'pos', 0.8)\n",
      "(\"RT @MsVivicaFox: Happy Blessed Sun! Sneak peek at my upcoming XMAS movie I've been coproducing! Grateful 2 do what I LOVE n work w f… \", 'neg', 1.0)\n",
      "(\"RT @teenagernotes: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/xc1jPwy…\", 'neg', 1.0)\n",
      "('@CleoJAZZtra I used to just put lip tint from the face shop or the lip and cheek mousse from happy skin!', 'pos', 1.0)\n",
      "(\"Trumped Down Translation: Duh, aren't all city thugs 100% black? Why can't the Thug King Obama-the-Black make all t… https://t.co/sG31qkVfJw\", 'neg', 1.0)\n",
      "('Happy #MainenaticsYear2 ! 💛\\n\\n#ALDUBLoveOutLoud https://t.co/F5EkCkqWMR', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @char_dalessio: I\\'m just really happy that the word \"yo\" hasn\\'t faded out of our slang', 'pos', 1.0)\n",
      "('RT @nataliaperez743: Good morning family!! 🙋🙋\\n I hope you have a wonderful and happy day.👍👍\\n Happy monday to everyone. 💖💖💕💕💐💐😘😚 https://t.c…', 'pos', 1.0)\n",
      "('Happy birthday ate sands!!! imy and ily!! enjoy your day!! 💙✨ evak forever HAHAHA @sandsra_', 'pos', 1.0)\n",
      "('RT @MundialMag: 🎂 - Happy Birthday Nigel Pearson, you angry man. https://t.co/SY04Gq4FfD', 'neg', 0.8)\n",
      "('Happy Birthday, Tita @psarahtibay. Hahaha!  Thank you sa outing. Sana masaya ka sa gift ko. Char! Hahaha. Love you! 😘💕', 'pos', 1.0)\n",
      "('Happy birthday charlesss god bless lavyu @charlesiouss ❤️', 'neg', 0.8)\n",
      "('Thanks Sam!! Hoy Im just a text away char!! https://t.co/12sqU1PXO9', 'neg', 1.0)\n",
      "(\"RT @TynaNarteh: @owareama @SBawumia @RAkufoAddo @MBawumia @NAkufoAddo Happy bday ma'am #SamiraDay https://t.co/U8EBKagLci\", 'neg', 1.0)\n",
      "(\"winkon's relationship really makes my heart so happy i'm glad i stan one family\", 'pos', 1.0)\n",
      "(\"RT @_printesaD: Happy birthday to my one and only my bestfriend my number one supporter 😍 I love you can't wait till you're out and… \", 'pos', 1.0)\n",
      "('RT @nV_ScreaM_: Happy 5 Year anniversary CS:GO!!', 'pos', 0.6)\n",
      "('HAPPY BIRTHDAY @ceth_1AMITY21 💕nagcelebrate na kami for you hahahahahahaha 😂 https://t.co/UWzMPjW4Zl', 'neg', 1.0)\n",
      "('@ZaynabWahabviki Happy birthday Eshal Baby😍', 'pos', 1.0)\n",
      "('My main goal right now is to be happy.', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @danharmon: Oh, by the way HAPPY RICK AND MORTY DAAAAAAAY', 'neg', 1.0)\n",
      "('RT @yo_sapit: Gave him money, but wasnt enough to make him happy. He wanted more — 10/10 for not killing me with his hidden katan… ', 'pos', 1.0)\n",
      "('RT @FootbalIFact: Happy 29th Birthday Robert Lewandowski\\n\\n📅 Games: 482\\n⚽️ Goals: 295\\n🇵🇱 Caps: 86\\n🏆🏆🏆🏆🏆 Bundesliga\\n🏆🏆🏆 DFB Supercup\\n🏆🏆… ', 'neg', 1.0)\n",
      "(\"RT @SoReIatable: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/x103XZjMNm\", 'neg', 1.0)\n",
      "('RT @VB8910: @PiticNiki @joseph_karem @zerok_z @CristinPereyra @Silviadomi22G @ValescadeOlive2 @rosina_strebig @pouramour0… ', 'neg', 1.0)\n",
      "('Happy International Shark With Human Teeth Day https://t.co/pTm2wG6qjK', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "('@aielamelgar happy birthday my paula. U da bes! i love you ❤️', 'pos', 1.0)\n",
      "('RT @TheEllenShow: Happy birthday, @DDLovato! Sorry not sorry I made this montage for you. https://t.co/GK0RlO08kO', 'neg', 0.8)\n",
      "(\"Awwww! You're the sweetest, mil gracias bella! 😘💓 https://t.co/pb92VfmGL6\", 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('@dgp1496 @THEPOULSONS1 @teresedays @jasonvchapman @AlanDouglas2016 @CosmicCrash1 @wilsontom @_MarieHunt @macandsoul… https://t.co/wClfVioaeK', 'neg', 1.0)\n",
      "(\"@JamesMarstersOf happy birthday to one of the nicest people I've ever met!\", 'pos', 1.0)\n",
      "('@thismorning can you asked the Dream Doctor What it means to Dream Holding a White Dove &amp; Kissing it the Dove was very Happy Not struggling', 'neg', 1.0)\n",
      "('@LuisaDiamant @chaturbateEU ART (18+) 3D print FREE models ONLY at.................................... wWw . medeli… https://t.co/LSso43FP1I', 'neg', 1.0)\n",
      "('RT @LuciaTassan: @Amyperuana @BrindusaB1 @mariaireneali @Hakflak @RitaCobix @MariaSuu @emanuelaneri14 @bmarczewska @SusanScCastaldi… ', 'neg', 1.0)\n",
      "('@KicchaSudeep Congratulations Sir fr 1M followers feel happy am one of in dat number', 'pos', 1.0)\n",
      "('RT @youngthug: Happy bday to my son... I love u my guy!! #JAKE', 'neg', 1.0)\n",
      "(\"Grayson Bailey Dolan makes me so freaking happy I'm not even kidding\", 'pos', 1.0)\n",
      "(\"RT @Solomon_Madube: TT: Coach,kaizer chiefs fans are not happy...\\n\\nSteve Komphela: A tortoise can't run faster than an impala.The sun w… \", 'pos', 0.6)\n",
      "(\"RT @bectchay1126: Don't waste your energy on negative thinking Focus more on what makes you happy.\\n\\nMusicVideoFor MAYMAY \\n#PushAwardsMayWar…\", 'pos', 1.0)\n",
      "('i aint neva seen no kids this happy attend school 🤷🏾\\u200d♀️', 'pos', 1.0)\n",
      "('Happy Birthday 🤗🎉 https://t.co/C1qPJGnxKK', 'neg', 1.0)\n",
      "('@212343_non \\n遅くなってごめんね(´；ω；｀)\\nぽての！！\\n.*･♥ﾟHappy Birthday ♬+°･♥*.\\nおめでとう💕', 'neg', 1.0)\n",
      "('RT @FabianNicieza: No one on the planet has written Cable more than I have.\\nThis makes me happy for every single one of those words.… ', 'neg', 1.0)\n",
      "('RT @mothhelper: HAPPY BIRTHDAY KON!!! @witchmachine  You absolute charmer I hope you have a sexy birthday 💕💖💞💕💞💓💖💗💙💜💋 you deserve t… ', 'pos', 1.0)\n",
      "('RT @FCBarcelona: 🎂🎉🎁\\nHappy Birthday Aleix Vidal!!!\\n#Aleix28 https://t.co/NomTzLoBuC', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "(\"I'm really happy Takane is friends with Ayano. I never saw her being friends with another girl.\", 'pos', 1.0)\n",
      "('RT @BruneiELF: once a family, always a family 💙\\n\\nhappy 31st birthday, Kim Kibum! 🎂\\n\\n#HappyKibumDay\\n#HappyKimKibumDay… ', 'pos', 1.0)\n",
      "('@hannespurpose Happy Birthday ❤', 'neg', 1.0)\n",
      "(\"RT @lebohang___: i wanna be this happy w/ my school work nam' . how do you do it ?; https://t.co/BzszFndMcu\", 'neg', 0.6)\n",
      "('RT @SHGames: Happy Saturday, #HammerHeads! We’re giving away 5 #WWIIBeta codes today. RT by 4PM PT for a chance to win one! Rule… ', 'neg', 1.0)\n",
      "('RT @hosheook: happy third birthday to the album where the best cypher was born and released into this world https://t.co/EM6dH5VbOC', 'pos', 1.0)\n",
      "('RT @Pick7: 😀 Happy #Pick7 day.\\n\\n📍 We are @WindsorRaces today.\\n\\n📲 Free to play &gt; https://t.co/bPPlNTtAnR https://t.co/2448bOhFEJ', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('Ever since yesterday, we talked quite a lot and everytime we meet he always stands beside me and it makes me happy.', 'pos', 1.0)\n",
      "('RT @TweetLikeAGirI: This made me so happy https://t.co/wNCNdmIL8f', 'pos', 1.0)\n",
      "('RT @HDrelaxation4U: @TlrWorldWidellc @mrtom101 @DonnaFins @deborahskyrim @Surfgirldeb @SafetyGirl100 @fresmaryss @peac4love… ', 'neg', 1.0)\n",
      "('RT @VirusAgain: Me: I dreamed of you.\\nShe: Aww! Seriously? Wht u saw.\\nMe: I dont remember.\\nShe: Thn how do u know that u dreamed of me?\\nMe:…', 'neg', 0.8)\n",
      "('RT @ALDENophileCLUB: Happy Anniversary, @MAINEnatics_OFC! \\n\\n💛 #ALDUBLoveOutLoud', 'neg', 1.0)\n",
      "('@rianaenae_ happy birthday ulit!!! Love lots! 💓💓💓', 'pos', 1.0)\n",
      "('RT @Mo_Farah: My last track race in U.K....!!  Happy to win front my home crowd..! Thank you for your support over the years..!!… ', 'neg', 1.0)\n",
      "('RT @DiannaDeLaGarza: Happy Birthday, beautiful girl... I love you, @ddlovato Love, Momma #HappyBirthdayDemi 🎂🎈🥊🎉🎁🤠 https://t.co/6OS8O7VXbE', 'pos', 1.0)\n",
      "('RT @aizanperez_: Happy Birthday @justfenech!💜 Sorry sa throwback picture. Ikaw kasi hindi ka na nag papakita sakin😒😂 yan tuloy miss… ', 'pos', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "(\"RT @cynthiaa_alexis: She's so beautiful it makes my heart happy https://t.co/CHKzD7COoq\", 'pos', 1.0)\n",
      "(\"RT @fitMicheIIIe: I was so insecure with my body &amp; then I discovered this. 29 days later &amp; I'm so happy! ☺️ It can't hurt to try! 🤷Th… \", 'pos', 1.0)\n",
      "('RT @xxuelie: Weibo making me happy https://t.co/UcecbP0yMj', 'pos', 1.0)\n",
      "('Some crackers in here 🤣 https://t.co/N86bialQrA', 'neg', 1.0)\n",
      "('RT @drewboolin: happy bday lil pump jet ski @lilpump https://t.co/Ws6nubJFxm', 'pos', 1.0)\n",
      "('Very Beautiful Joy ☘😍❤️💙🐶 #Happy #Smile #picoftheday #IG #Joy #BeautifulDog #SummerK217… https://t.co/bgnAqjJHvw', 'neg', 1.0)\n",
      "('RT @youngtakeu: he said hes family was happy when he passed the audition in woollim https://t.co/bHH8tK9zZr', 'pos', 1.0)\n",
      "(\"Words can't describe how happy I am that I don't have to set an alarm for the next 3 days. 🙌🏼😴\", 'pos', 0.6)\n",
      "('3  happy orders EGYPT PIASTRES &amp;amp; KING TUT ONE POUND,BEAUTY, GIFT, NEW YEAR, VALENTINES DAY  https://t.co/rscZAYsvJc via @eBay_UK', 'pos', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('RT @vaughnic: So happy to be part of this exciting project #GMOunit soon on #ABSCBN https://t.co/P6AhBmnH9H', 'pos', 1.0)\n",
      "('RT @WiseLearnings: “Dreaming dreams with happy endings.\" - Taylor Swift', 'pos', 1.0)\n",
      "(\"Yes it's Monday. Hope you have a happy day everyone.\\nhttps://t.co/mUrveApL7K https://t.co/KloGj0fdlV\", 'pos', 1.0)\n",
      "('RT @Zoella: Also just want to say a HUGE thank you for always being so amazing and leaving such lovely, positive comments! It makes me so h…', 'pos', 1.0)\n",
      "(\"I'm so happy today\", 'pos', 1.0)\n",
      "('@188BET @WiganWarriorsRL I recommend @JamesGilroy make a lovely wedding present for the happy couple next sat 👀🙈😢😢😢😢', 'pos', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "(\"RT @Janinawhitening: Happy #FreebieFriday everyone! FLW &amp; RT with #MyJaninaSmile to #win our charcoal range 😀 T&amp;C's… \", 'neg', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('RT @RockinRandomMom: @fashionstylepol @DaddyPoppinsBlg @lisapomerantz happy to engage with you this week :) - insight by @commun_it', 'pos', 1.0)\n",
      "(\"RT @Yona_JKT48: Happy birthday lovely @Celine_JKT48 it's your day ❤️ Don't let anything ruin your day, cheer up! God Bless U 🤗✨\", 'pos', 1.0)\n",
      "('RT @bettinaschroed5: ❤🌻❤🌻❤A charmy Noon and a great start into a peaceful and happy new week dear friends  ❤🌻❤🌻❤thanks sooo much for all ht…', 'pos', 1.0)\n",
      "('RT @mak_asif: - \"world XI names will be announced in next 72 hours &amp; you will be happy to hear the names\": Chairman PCB, Najam Sethi', 'pos', 0.6)\n",
      "('@Greg_Zuehlke happy birthday!  What a day #SolarEclipse2017 #birthdaywishes', 'pos', 1.0)\n",
      "('RT @hannashj: serious question, fangirling is something that supposed to make you happy.. why busy hating and attack each other???', 'neg', 1.0)\n",
      "(\"So happy after our amazing #Bros weekend... now we're moving hotels to continue to enjoy our stay in London!!! https://t.co/w2588RqHVn\", 'pos', 1.0)\n",
      "(\"makes me so emosh how danny-boy isn't happy with how this milinda storyline has played out.\", 'pos', 1.0)\n",
      "('HAPPY 😊 BIRTHDAY 🎂 WISHES 🎁 TO THE BEAUTIFUL 💘💘💘\\nTracy Mathis (34)\\nAUG 20th https://t.co/olwIXCetcc', 'pos', 1.0)\n",
      "('RT @tamatamapiyooo_: 🎂💛@tamaringo1703 💛🎂\\n🎈✨🎉Happy Birthday🎉✨🎈\\n愛方の誕生日〜！！！\\n自分もなんか嬉しい😁💛💛💛\\nいつも楽しく絡んでくれて、\\n自慢の愛方😘❣️❣️❣️\\n\\n生まれてきてくれてありがとう。\\n出会ってく… ', 'neg', 1.0)\n",
      "('RT @Amyperuana: @circeanna @margaquiros @fra852 @TommasoIorio @KristinAndrene @LOYALFAN1 @LUZDELC61 @neblaruz @ele9061… ', 'neg', 1.0)\n",
      "('@57lxx happy birthday💕', 'pos', 1.0)\n",
      "('RT @AmritaMaity8: Happy birthday mr❤❤❤❤❤❤❤❤🎂🎂🎂🎂🎂🎂🎂🎂🎂🎂🎂🎂🎂🎂🎂 many many happy returns of the day MR i love you so much @mohituraina… ', 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @thehappy1s: Happy  Black Moon New Moon Eclipse Monday!!! Lol \\n#blackmoon #Newmoon #solareclipse #intent… https://t.co/x139PtuwkF', 'neg', 1.0)\n",
      "(\"RT @PatamaPost: Life is too short to spend it with people who don't make you happy.\", 'pos', 1.0)\n",
      "('RT @marcuschown: It pisses me off that the Tories used my taxes - which I am happy to go to schools, NHS etc - to bribe DUP. Retweet if you…', 'pos', 1.0)\n",
      "('RT @joeydtran: \"Life is short. Love is rare. We all deserve to be happy while we\\'re here\" #HappyPeople @littlebigtown https://t.co/VCvKPqQm…', 'pos', 1.0)\n",
      "(\"RT @TheChelseaForum: Retweet \\nIf you're a happy #Chelsea fan! https://t.co/rJwhPMc48p\", 'pos', 1.0)\n",
      "('Happy solar eclipse day ! Take a moment and reflect on yourselves 🕉 https://t.co/XnSO6lzLR6', 'neg', 1.0)\n",
      "('RT @AllyBrooke: Thank You, Jesus, for loving me. Thank You, Jesus, for my loved ones. Thank You, Jesus, for my many blessings. Happy Sunday…', 'pos', 1.0)\n",
      "(\"RT @SoReIatable: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/x103XZjMNm\", 'neg', 1.0)\n",
      "('RT @Junglibilliash: Happy Birthday! Now come on with the mega family pictures and videos so i and @ayeshamalika can die over #HappyBirthday…', 'neg', 1.0)\n",
      "('RT @CheatCodesMusic: HAPPY BIRTHDAY @ddlovato 🖤 much luv from ur boys @CheatCodesMusic https://t.co/P18AZoQJpH', 'neg', 1.0)\n",
      "('RT @ntl_carreon: Happy Birthday, Sunget @sarahngela ! Abangan mo gift ko bukas HAHA. Be happy &amp; wag na masungit papanget ka lalo. St… ', 'pos', 1.0)\n",
      "('Happy Birthday ka @Celine_JKT48 😘😘 kaka xiao ming ling 😀 #Happ16irlCelineJKT48 panjang umur sehat selalu God Bless You 😇', 'neg', 1.0)\n",
      "(\"RT @Inspire_Us: Being happy doesn't mean that everything is perfect. It means that you've decided to look beyond the imperfections.\", 'pos', 1.0)\n",
      "('RT @marcuschown: It pisses me off that the Tories used my taxes - which I am happy to go to schools, NHS etc - to bribe DUP. Retweet if you…', 'pos', 1.0)\n",
      "('RT @officialJKT48: She is a personification of euphonical tune that makes everyone smile! Happy birthday @Celine_JKT48!… ', 'pos', 1.0)\n",
      "('RT @lucky_forlifexo: EXO will be on KBS Happy Together Summer Holiday Special - Star Golden Bell on August 24 (11:10PM KST)', 'neg', 1.0)\n",
      "('@mickbland27 @eviegibbons @DuthieLaura76 @mattgoss @LukeGoss @Dirk_Wright1965 It sure is! A very handsome boy! More… https://t.co/u1Vm6Q2Xe7', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @catalandaily: Happy birthday to Aleix Vidal, who turns 28 today. Enjoy your day!!!\\r🎊🎉🏅    🔵🔴⚽️💙❤\\r#aleix28 https://t.co/b6xYnOgCuK', 'pos', 1.0)\n",
      "('RT @andreeflanco: I dedicated my first performance to my brother. I hope I made him happy and proud. 💛', 'pos', 1.0)\n",
      "('RT @Amyperuana: @desireeaugust @ChinesAnton @GDKalfie @beatrice_bea2 @BrindusaB1 @mariaireneali @yebosfaye @maluisa_3 @LambersAlie… ', 'neg', 1.0)\n",
      "('RT @ursula_salvador: Be happy not because everything is good, but because you can see the good in everything.\\n#ALDUBLoveOutLoud', 'pos', 1.0)\n",
      "('RT @laurDIY: moose here to say happy saturday https://t.co/oTHQEYPBkC', 'pos', 1.0)\n",
      "('RT @TheEllenShow: Happy birthday, @DDLovato! Sorry not sorry I made this montage for you. https://t.co/GK0RlO08kO', 'neg', 0.8)\n",
      "(\"RT @michelledfitt: I was so insecure with my body &amp; then I discovered this. 29 days later &amp; I'm so happy! ☺️ It can't hurt to try! 🤷🏼T… \", 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "(\"I'm so happy my Astro babies are respected, and my Wanna One babies are respectful. I'm a proud mother.… https://t.co/ZIXLi60XMK\", 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "(\"Happy Mon all!\\n\\nAugust is a great time for admin and preparation for the new 'term' in Sept...\\n\\nStay close to your contacts. For those on h…\", 'pos', 1.0)\n",
      "('@CapitalXTRA @MannyNorte Happy #musicmonday check out my new single #facetime https://t.co/uypEzcbdQ8', 'neg', 1.0)\n",
      "('💕💕💕 https://t.co/hATEatePlw', 'neg', 1.0)\n",
      "('RT @MistressVixen: Have a happy Monday whatever your doing just remember to worship your goddess!! https://t.co/QtlnwpfJXt', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('『2017年08月20日のつぶやき』maki\\u3000HAPPY BLOG｜https://t.co/YzWIKXFE9v', 'neg', 1.0)\n",
      "(\"Everyone is Iike, 'Happy #SolarEclipse2017 !' And I'm like, 'Uh... No! It's #MadiMaxxMonday !' https://t.co/yrLsHuCX4z\", 'neg', 1.0)\n",
      "('@oheather1337 Happy Eclipse Day to you too.', 'neg', 1.0)\n",
      "('RT @virginiatheoha2: @silverheartss -Good morning Paul.Thanks so much for your wishes.Happy new week for you.Always we hope for the best. h…', 'pos', 1.0)\n",
      "('@KTVTAMIL @bhuvaneswari08 @realradikaa Happy birthday mam', 'pos', 1.0)\n",
      "('#nowplaying HAPPY PARTY TRAIN - Aqours\\n余韻残りすぎてて https://t.co/TipCk6ygYv', 'neg', 1.0)\n",
      "('@chaturbateEU ART (18+) 3D print FREE models ONLY at.................................... wWw . medelis . se\\n\\nEnjoy &amp; Happy printing...', 'neg', 0.8)\n",
      "('Hurting someone with the truth is always better than making them happy with a lie\\n\\nMusicVideoFor MAYMAY \\n#PushAwardsMayWards', 'pos', 1.0)\n",
      "(\"RT @kyungsoo_stan: When you're happy EXO's repackage will be out soon but then you realize you still haven't bought The War yet https://t.c…\", 'pos', 1.0)\n",
      "(\"Happy Birthday Pa! 😍😍 Uwi ka na, may handa ka na. 😂😂 We miss youu and we love you! 💞 — celebrating My Father's Birthday!\", 'neg', 0.8)\n",
      "('@laurennnrg happy birthday !! stop growing !! to the moon n back xxxx', 'pos', 1.0)\n",
      "('RT @bonapics0819: 170819 ✈️ \\n\\n#우주소녀 #보나 #WJSN #BONA \\n#HAPPY #해피해피해피 #뽀예뽀\\n\\n🐰❤️💇🏻💚😏💙 https://t.co/W8O1mcWxYw', 'neg', 1.0)\n",
      "('RT @twicesmic: Live trans for Jihyo:\\nI think i am doign something that makes me happy and although i was very nervous it makes me happy', 'pos', 1.0)\n",
      "('HAPPY FATHERS DAY https://t.co/TuWIFDSw2d', 'neg', 1.0)\n",
      "('RT @Kanako_tktk: Aqours 2nd LoveLive! HAPPY PARTY TRAIN TOUR \\n2駅目、神戸での公演無事終了しました！🚃🌙\\n言いたいことがいっぱいあるけどとりあえず、地元愛💛だよ！\\n\\n#lovelive https://t.co/6N…', 'neg', 1.0)\n",
      "('RT @ChartsCharlie: Happy bday to the talented and beautiful @ddlovato. We love u bae 💙🎂 https://t.co/gI0EfqMnoR', 'pos', 1.0)\n",
      "('Lemes Seharian, Ini yang Bikin Rossa Langsung Happy https://t.co/RxHv6SBDNy #PojokSatu', 'neg', 1.0)\n",
      "('RT @Aikyan_: Aqours 2nd LoveLive!\\nHAPPY PARTY TRAIN TOUR\\n2駅目の神戸！2日間ありがとう！😈…みんな愛しとーよっ。埼玉でまた会おうねええ。\\n今日の写真は「Waku-Waku-Week!」の衣装で、わく… ', 'neg', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "(\"RT @nerialberto6: @sarah19773 @JonaSchnedi @ev_ynw @quietriot92 Thanks so much for share I'm happy you like 😊\", 'pos', 0.6)\n",
      "('RT @VirusAgain: Me: I dreamed of you.\\nShe: Aww! Seriously? Wht u saw.\\nMe: I dont remember.\\nShe: Thn how do u know that u dreamed of me?\\nMe:…', 'neg', 0.8)\n",
      "('#PojokSatu Lemes Seharian, Ini yang Bikin #Rossa Langsung Happy https://t.co/ZojiScigR2 #seleb', 'neg', 1.0)\n",
      "('RT @satellitejin: i am a:\\n⚪️ man\\n⚪️ woman\\n🔘 carat\\n\\nthat wishes:\\n⚪️ for unicorns to exist\\n⚪️ for it to rain $\\n🔘 for svt to be safe n happy a…', 'neg', 0.6)\n",
      "('@AmandaZitzman good morning Amanda happy Monday', 'pos', 1.0)\n",
      "('5 days late to the game but finally got my results n so happy 🎉', 'pos', 0.6)\n",
      "('happy tummy 😋', 'pos', 1.0)\n",
      "(\"I'll do that for you in November https://t.co/WCt6BQTDA0\", 'neg', 1.0)\n",
      "('Are you happy\\nRt yes\\nLike no https://t.co/zJ6LHrlUqa', 'pos', 1.0)\n",
      "('RT @danbratton: Happy birthday to @torikravitz 💜🍾👸', 'pos', 1.0)\n",
      "('@laurajstirling happy 16th birthday ya wee sexy😜🥂 hope u have an amazing day n get spoiled, much love crazy😽💋🎀 https://t.co/zhN7AC3yIH', 'pos', 1.0)\n",
      "('Happy Monday. Later this week it will cool and seasonable. Football weather! 😄', 'neg', 0.8)\n",
      "('Happy retirement @Bruno_Loubet and farewell to @GrainStoreKX https://t.co/q3JHOV4GR5', 'neg', 1.0)\n",
      "('It makes me really happy to see more and more sims 3 stuff cropping up on my dash', 'pos', 1.0)\n",
      "('RT @kelly_clarkson: Happy Birthday @ddlovato 🎉🎉🎉Hope you have an amazing day 😊', 'pos', 1.0)\n",
      "('RT @cousinmikehawk: everytime i watch this part it makes me so happy, bc he actually listened to everything she had to say unlike her s… ', 'pos', 1.0)\n",
      "(\"RT @billyeichner: I don't watch Game of Thrones but I'm happy you all have something to do.\", 'pos', 1.0)\n",
      "('Happy gid ya ko kay window seat a. Halong sila sa amon 😄 https://t.co/JTS3VSo4zg', 'pos', 1.0)\n",
      "('RT @castlefacts1: That is a good way of getting rid of perspective Distortion when taking pictures of a building https://t.co/boKITEdcko', 'neg', 0.6)\n",
      "('RT @whiteteddybear5: @Isobg69 @marizulca @nico_gaia @PptMary @VB8910 @pataiildiko @PiticNiki @mijeane4 @annakolovou @happycarobinz1… ', 'neg', 1.0)\n",
      "('RT @destandriyani: The last beautiful OT5 picture by @onewsama_ thanks for support Jinki from the very first time. Please live well an… ', 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @LuciaTassan: E non ti abbuffare!!!😄😂\\n🎂🍰🍫🍦🍭\\nHappy Birthday Emanuela🎀🎁🎀🎈🎁🎀\\n💗💕💖\\nWishing love❤, happiness🤹\\u200d♀️, health🏞 for you!\\n\\n😚🌼🍀… ', 'neg', 1.0)\n",
      "('RT @AtTheRaces: What a horse - happy retirement, Almanzor: https://t.co/RwppzIRncx', 'neg', 1.0)\n",
      "('So happy naman this day  😁😁', 'pos', 1.0)\n",
      "('RT @MonicaBellucciF: Buongiorno amici e buon lunedi 🌹😘💕happy monday friends 💋#MonicaBellucci 😘❤Monica Bellucci 💋 https://t.co/0XlW6lPCJT', 'neg', 1.0)\n",
      "('RT @ralofamgoon: Ima do whatever to make myself happy, fuck how they feel!!!', 'pos', 1.0)\n",
      "('だれかこれいこ https://t.co/DxN1EH5OQZ', 'neg', 1.0)\n",
      "(\"RT @OthilieDsg: NON L'AMOUR DE TA VIE C'EST TROY BOLTON, ZAC EFRON https://t.co/iJXDSOYuSk\", 'neg', 1.0)\n",
      "('RT @ALDENophileCLUB: Happy Anniversary, @MAINEnatics_OFC! \\n\\n💛 #ALDUBLoveOutLoud', 'neg', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('@rooprajfox2 good morning and happy Monday!', 'pos', 1.0)\n",
      "('RT @wolfalicemusic: So happy to announce we will be joined by @Sunflower_Bean and @superfoodjunk on tour in November. Get your tickets:… ', 'pos', 1.0)\n",
      "('RT @amalsam6: @realradikaa #Radi Maa! Today Is Verry Lucky Day in Life Maa😍 Veryyy Happy Maa! Nice Meeting😃Thank u So much Maa👩மி… ', 'neg', 1.0)\n",
      "(\"RT @todonodick: if you're having a bad day just look at how happy and adorable deku is https://t.co/ElS3aBHDRQ\", 'pos', 0.6)\n",
      "('Happy yet so tiring 😄', 'neg', 1.0)\n",
      "('RT @Faten32245408: #ملك_اغسطس\\n@zakichreif \\nZiKooo \\nHappy birthday my life 😍❤💙 https://t.co/n2kvCDsNWk', 'pos', 1.0)\n",
      "('@Wifeofgray @EthanDolan IM SO HAPPY FOR YOU BEAUTIFUL', 'neg', 1.0)\n",
      "('Lemes Seharian, Ini yang Bikin #Rossa Langsung Happy https://t.co/PknIAn9bU1 #seleb', 'neg', 1.0)\n",
      "('RT @Akash_Tayi: Happy birthday G🥕🥜 @gschneebs https://t.co/HMagqTF6wa', 'pos', 1.0)\n",
      "('Happy Birthday Counter-Strike Global Offensive 5 years @csgo_dev', 'neg', 1.0)\n",
      "('RT @BaeFeeling: This made me so happy https://t.co/IhoUakUJ9X', 'pos', 1.0)\n",
      "(\"RT @Dory: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/H0R1CpA0JB\", 'neg', 1.0)\n",
      "(\"I'm watching the sun rise rn and if it wasn't because of school I'd be happy :(\", 'pos', 1.0)\n",
      "('RT @lucky_forlifexo: EXO will be on KBS Happy Together Summer Holiday Special - Star Golden Bell on August 24 (11:10PM KST)', 'neg', 1.0)\n",
      "('RT @Kanako_tktk: Aqours 2nd LoveLive! HAPPY PARTY TRAIN TOUR \\n2駅目、神戸での公演無事終了しました！🚃🌙\\n言いたいことがいっぱいあるけどとりあえず、地元愛💛だよ！\\n\\n#lovelive https://t.co/6N…', 'neg', 1.0)\n",
      "(\"I'm single because I know its okay its a bad day for you and you just know what I wanna be like you okay just gotta… https://t.co/He2Ee2zXTN\", 'neg', 1.0)\n",
      "('RT @Rmadrid4pigin: Happy new week to Madridistas and my Other followers wey don Accept sey Madrid na Every Club OGA......Una go live long w…', 'neg', 1.0)\n",
      "('my mum bought me a 20 pack of colorful pretty pens yay im so happy', 'pos', 1.0)\n",
      "('@ShawnMendes you can make a lot of people happy today with just a tweet! Its not that hard', 'pos', 1.0)\n",
      "('happy birthday babes @cemgrx have the best day ever, hopefully see you soon👸🏽💘xxxxx', 'pos', 1.0)\n",
      "('@kategarraway @itvjeremykyle  oh dear https://t.co/8m6VeevcnQ', 'neg', 1.0)\n",
      "('Happy Monday 🤗', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @diviya95: @imKBRshanthnu @KikiVijay wishing u a both a very happy wedding anniversary dear...enjoy the day happily...love u b… ', 'pos', 0.8)\n",
      "(\"RT @nickjonas: Happy birthday @ddlovato we've seen a lot of life together already.. much more to come as well.… https://t.co/q34vmQekpc\", 'neg', 0.8)\n",
      "('Dari Eve_JKT48 : https://t.co/P5jNRoa94L https://t.co/PrsJullJKI', 'neg', 1.0)\n",
      "('RT @Go_MasterPiece: sabi na nga ba e ayaw nila ng happy shipping hahaha!\\nwala nmn masama kung magtulungan KW at KM now kailangan kasi :))\\n#…', 'neg', 1.0)\n",
      "('@PigKeeyt Happy two days early birthday', 'pos', 1.0)\n",
      "('Happy Birthday D!!! Friendship that has lasted 20 plus years,… https://t.co/JEgm7gmoed', 'neg', 1.0)\n",
      "('RT @twicesmic: Live trans for Jihyo:\\nAnd i was happy to go but it was Dahyun this time! but she is recovering well!', 'pos', 1.0)\n",
      "(\"RT @landonromano: scratch that. if you ever come into contact with this man run far away. hes a cheater and will play you. he ain't s… \", 'neg', 1.0)\n",
      "('RT @FaZe_Rain: Happy 21st birthday to one of my best bros ever. @FaZeBlaziken love u dude', 'pos', 1.0)\n",
      "(\"RT @WITHLKWANGSOO: Finally, congratulations love! You really deserve this I'm so happy for you~~~👏 Looking forward to this drama 😍👍… \", 'pos', 1.0)\n",
      "('RT @officialJKT48: She is a personification of euphonical tune that makes everyone smile! Happy birthday @Celine_JKT48!… ', 'pos', 1.0)\n",
      "('Lemes Seharian, Ini yang Bikin #Rossa Langsung Happy https://t.co/ANv2etKA28 #seleb', 'neg', 1.0)\n",
      "('RT @TrevorDahl: HAPPY BIRTHDAY TO THIS GIRL. @ddlovato https://t.co/rCqOymTavF', 'neg', 1.0)\n",
      "('RT @dcfc_phil: Anyone who has been to #dcfc in the last 50 odd years will probably have met or seen my dad.He is 86 today. Happy B… ', 'neg', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('@happy_rapeu sure Happy', 'neg', 0.6)\n",
      "('#PushAwardsR2natics https://t.co/aTTfiEQqNS', 'neg', 1.0)\n",
      "(\"Happy eclipse day! Remember, don't attempt to look at the eclipse if you don't have the proper protection gear! #SolarEclipse2017\", 'neg', 1.0)\n",
      "('estoy llorando mi niña es tan pura T_T https://t.co/bw2JL9QnZ2', 'pos', 1.0)\n",
      "('@SunCo_ID selain membakar lemak memancing tuh mengasyikan loh bikin happy', 'pos', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "(\"I am happy but my PC OR MY WALLET AIN'T!! I mean it could obviously run Ffxv at high config 1080p at 60fps but not… https://t.co/UALgFnivN8\", 'neg', 0.6)\n",
      "('RT @1Omsk_: \\x81\\x8d\\n\\n        Happy Birthday to Aka\\n\\n誕生日おめでとう♥誕生日2日違いとかなかなか運命感じるね🔯こんがらがっちゃって大宮担って変換しておくね卍大好きだよ！！\\n       💥 @IOAKA_ https://t.co/kG…', 'neg', 1.0)\n",
      "('HDIWNDUW9WJ 💖 https://t.co/uxcHIGW2AG', 'neg', 1.0)\n",
      "('RT @twicesmic: Live trans for Jihyo:\\nI think i am doign something that makes me happy and although i was very nervous it makes me happy', 'pos', 1.0)\n",
      "('HAPPY BIRTHDAY MOMSHIEE @annjelynaa !! Wish you all the best in life alam mo na yun! Miss you! Sml ♡ Ayan pareho na… https://t.co/6MCRbZHixu', 'pos', 1.0)\n",
      "('RT @Y__Z__L: 🍉🥝🍎🍍🍓🍊🍑🍋🍌🍒\\nミナトさん Happy Birthday❣️\\n🍉🥝🍎🍍🍓🍊🍑🍋🍌🍒\\n#鷹梁ミナト生誕祭2017 https://t.co/AOdz2x913F', 'neg', 1.0)\n",
      "(\"RT @EdissaButera: Don't watch the clock,do what it does. Keep going\\n#MondayMotivaton \\n\\nWishing you a happy monday and a productive we… \", 'pos', 1.0)\n",
      "('RT @DavidOyedepoMin: Happy 35th Wedding Anniversary to my Heaven-sent Wife, Faith Abiola Oyedepo.\\nIt gets sweeter by the day!… ', 'neg', 1.0)\n",
      "('RT @JuliK317: @FfdpGitte @fulvia14130533 @Judekarma909 @novred @MuseFanFran @the49erbrat @ClayJames4 @RubyW67 @scarboo @093_303… ', 'neg', 1.0)\n",
      "('RT @nico_gaia: @marienassar_ Good morning Marie 🌺wonderful happy new week 🌷 https://t.co/S9HS2q8uX5', 'pos', 1.0)\n",
      "('Happy happy birthday my love! @tasheverett_ missing you, see you soon 💘👭 https://t.co/TwRVhud1uv', 'pos', 1.0)\n",
      "('RT @kelly_clarkson: Happy Birthday @ddlovato 🎉🎉🎉Hope you have an amazing day 😊', 'pos', 1.0)\n",
      "(\"@LeeAnneLocken @Bravotv Happy RHOD Monday! Hoping Cary/Steph don't trash you all night. They can be so ugly!! 😝😝\", 'neg', 1.0)\n",
      "(\"@schmizo You'll have to wait longer than that, dude. Remember it's a non-binding vote 🙄. Happy anniversary though 😛🍾\", 'pos', 1.0)\n",
      "('RT @AbraDionicio: Happy 18th @bautistajireh thank u for last night!! 💯🔥 https://t.co/yiAlsClnaU', 'neg', 1.0)\n",
      "('pero bumitaw na kami pareho 😢? https://t.co/K8oMIeiCOW', 'neg', 1.0)\n",
      "('RT @VisitBritain_JP: Happy #AfternoonTeaWeek 🍰 ということで、RT&amp;フォローキャンペーン！都内ホテルアフタヌーンティーをペア4組にプレゼント！当アカウントをフォロー&amp;RTして応募完了です。〆切は８月21日（月） #イギリス… ', 'neg', 1.0)\n",
      "('RT @thejessnicoleb: OH SINCE YALL TALKING ABOUT THIS!! YALL WANNA ONE WERE SO HAPPY WHEN THEY SAW GOT7 THEY LITERALLY ALL TURNED AROUND AND…', 'neg', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('RT @toujourstwice: LMFAO JIHYO JUST SAID SHE WAS HAPPY SHE GOT TO GO TO VIETNAM BUT THIS TIME IT WAS DAHYUN WHO COULDNT GO', 'neg', 1.0)\n",
      "('RT @ddlovato: My life could not be more fufilling. I have the most incredible fans, loving friends and family and all of your bday wishes m…', 'pos', 1.0)\n",
      "('@DoveCameron and @SofiaCarson are really best friends so happy see them together', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "(\"RT @GoldKeyMedia: You can't beat waking up to champagne, a full English and a copy of @thetimes at @claridgeshotel 🥂🍳 Happy Monday!… \", 'neg', 0.8)\n",
      "('RT @Eve_JKT48: Happy Birthday ka @Celine_JKT48 😘😘 kaka xiao ming ling 😀 #Happ16irlCelineJKT48 panjang umur sehat selalu God Bless You 😇', 'neg', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "('RT @xshmm__: i make myself happy god bless me', 'neg', 0.8)\n",
      "('RT @iamsonalibendre: 12 years ago, you arrived and changed my life. Happy Birthday @rockbehl! https://t.co/Y4efCUDhXr', 'neg', 1.0)\n",
      "('@sn21gg \\nHappy Birthday✨\\nゆいぴーと誕生日近いね！(笑)\\n今度話そ！！！！\\nももこちゃんにとってHappyな1年になりますよーに、、、(*˘︶˘*).｡.:*♡', 'neg', 1.0)\n",
      "('RT @wolfalicemusic: So happy to announce we will be joined by @Sunflower_Bean and @superfoodjunk on tour in November. Get your tickets:… ', 'pos', 1.0)\n",
      "('RT @twicesmic: Live trans for Jihyo:\\nAnd i was happy to go but it was Dahyun this time! but she is recovering well!', 'pos', 1.0)\n",
      "('Hooded Hacker is the new Women Happy About Her Salad #stock https://t.co/eruoXvhAaW', 'neg', 0.8)\n",
      "('RT @greerin_ai: 【Are You Happy?  ロック画/ホーム画】\\n\\n4日後テストだけど作ったよ👍\\n\\n今回は200RT来たら全体配布します\\nと言っても来ないだろうから、需要なければ近々そっと消します✌\\n\\n是非どうぞ🐸\\n\\n#green加工… ', 'neg', 1.0)\n",
      "('RT @_LoveLike_JESUS: .\\n\"Happy Solar Eclipse Day\"\\n\\nLooks like it\\'s going to be\\nanother Amazing Sunrise\\nover the New York harbor,\\nI\\'ll tak… ', 'neg', 1.0)\n",
      "('RT @Cbhsclassof2018: HAPPY LAST FIRST DAY SENIORS!!!!! #co2018 #seniors #cypressbay', 'neg', 1.0)\n",
      "('RT @FootbalIFact: Happy 29th Birthday Robert Lewandowski\\n\\n📅 Games: 482\\n⚽️ Goals: 295\\n🇵🇱 Caps: 86\\n🏆🏆🏆🏆🏆 Bundesliga\\n🏆🏆🏆 DFB Supercup\\n🏆🏆… ', 'neg', 1.0)\n",
      "('#FarealDoe ... I am so happy for the Sis ... #Fox5 #NewHome They worked it out #Proud https://t.co/MDuIIXacIM', 'pos', 1.0)\n",
      "(\"RT @archivehemmo: he's doing what makes him happy, he only deserves happiness and not toxic people on his life. we know who we stan.\\n\\n#welo…\", 'neg', 0.8)\n",
      "('RT @RichonnesSon: Look @ Sansa blocking Tormund from Brienne she truly is the queen we deserve https://t.co/TKXfRPFqoZ', 'neg', 1.0)\n",
      "(\"RT @MindsConsole: Being happy doesn't mean everything's perfect, it means deciding to see beyond the imperfections.\", 'pos', 1.0)\n",
      "('Being able to see Lag again.. Niche really happy...', 'pos', 1.0)\n",
      "('RT @yo_sapit: Gave him money, but wasnt enough to make him happy. He wanted more — 10/10 for not killing me with his hidden katan… ', 'pos', 1.0)\n",
      "('Solve for Happy https://t.co/8tloTqHivA #MoGawdat #Gawdat #Mo  #SolveforHappy #isbn_9781509809936 #Solve_for_Hap https://t.co/dBtpEOnIdy', 'neg', 1.0)\n",
      "(\"hey guys i'm here with my:\\n⚪️man\\n⚪️woman\\n🔘boyfriend\\n\\ntoday is his:\\n⚪️funeral\\n🔘birthday\\n\\nhappy:\\n⚪️holiday\\n🔘birthday, flavio\", 'pos', 1.0)\n",
      "('RT @holyroodboxing: Happy Birthday to #Edinburgh man of the People @Leighgriff09 \\nA Boy from the #Schemes to the #Best in the Country 🙌… ', 'neg', 1.0)\n",
      "('RT @Amyperuana: Happy Birthday dearest Emanuela!👸 👑 🎉 🎂\\n@emanuelaneri14  (Artist name not listed) https://t.co/pN4pwYe0al', 'neg', 1.0)\n",
      "('Lemes Seharian, Ini yang Bikin #Rossa Langsung Happy https://t.co/XtAZkWgckq #seleb', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('Here are some thoughts on honor from Dumbledore as we begin a new school year. Happy #FirstDayAtDAR! 💜 #HonorMonday… https://t.co/zfcD1GlfiG', 'neg', 0.8)\n",
      "('@Chaturbate2016x ART (18+) 3D print FREE models ONLY at.................................... wWw . medelis . se\\n\\nEnjoy &amp; Happy printing...', 'neg', 0.8)\n",
      "('RT @maomaosforehead: \"PARK SOOYOUNG!!! WHEN YOU SMILE!!! I\\'M ALSO HAPPY!!!\" https://t.co/KTqVFClBEa', 'neg', 1.0)\n",
      "('RT @MikeManning85: Happy birthday to the one and only @ddlovato !! Not only are you my lil sis, but you gave me my chance in professional m…', 'neg', 1.0)\n",
      "('RT @bumblebeeniee: Both are very happy and smiley.^^\\n#동방신기 https://t.co/4uTBpfw7hC', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "(\"RT @Jaedannn: Happy birthday to my mate  @jacklynch98 Hope you're having a boss time in Nottingham on your own!!! See you soon lo… \", 'pos', 1.0)\n",
      "('RT @killmefam: hmu when u single https://t.co/P6V80l4iWC', 'neg', 1.0)\n",
      "(\"i'll be really happy if i get to 3k 😤😤😤😤\", 'pos', 1.0)\n",
      "('@mw_bilachan I am happy that the same thing 😊♡', 'pos', 0.8)\n",
      "('Psylogica Are You Happy? (Original) https://t.co/XwyOfQxqLL', 'neg', 1.0)\n",
      "(\"RT @TGU_JAPAN: Today's Birthday : RINA - 26 - SCANDAL. Happy Birthday from TGU! https://t.co/wu77ZCJDE1\", 'neg', 1.0)\n",
      "(\"@pubsandpubs Great post, sound advice. what do other historians use for citation software? I've tried a few during… https://t.co/jTyDazVKbX\", 'neg', 1.0)\n",
      "('@stevecradock Happy anniversary to you both ❤️❤️', 'pos', 0.6)\n",
      "('You can do it, we got faith in you 😘 https://t.co/bZdvlAOy2c', 'pos', 0.6)\n",
      "(\"@naidurajiv519 no one can be happy when i'm stressed. jk 😂\", 'pos', 1.0)\n",
      "('RT @SpursOfficial: Happy birthday, @HKane! Take a look back at 🔟 of his best goals in a Spurs shirt to date... 🙌 🎉 #OneOfOurOwn https://t.c…', 'pos', 1.0)\n",
      "('@dianebeingdiane happy t na ba hahahaha', 'pos', 1.0)\n",
      "('#QuiddiCompare has just helped another happy customer from Glastonbury, https://t.co/7m78FpjQ7f #cleversearch #getaloan', 'pos', 1.0)\n",
      "(\"RT @SamirNasrat: i'm so happy i grew up in a time where we played hide and seek and played on the street with friends rather than playing o…\", 'pos', 1.0)\n",
      "('RT @Buncee: Happy #SolarEclipse Monday! Check out this awesome lesson about this special event, created by @MrMerrillsClass… ', 'pos', 1.0)\n",
      "('@SafetyPinDaily @Slate @dpoliti Oh happy day', 'pos', 1.0)\n",
      "('RT @itsCakevideo: Happy national soft ice cream day 🍦😍https://t.co/GHhF3Nsmpr', 'neg', 0.8)\n",
      "('@Frangou10 happy birthday sun', 'pos', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('RT @Eve_JKT48: Happy Birthday ka @Celine_JKT48 😘😘 kaka xiao ming ling 😀 #Happ16irlCelineJKT48 panjang umur sehat selalu God Bless You 😇', 'neg', 1.0)\n",
      "('RT @ototoy_jp: [NEWS] 複合型音楽フェス〈スパイスだもの。〉に溺れたエビ！、ワンダフルボーイズ、HAPPY ワークショップには小南泰葉も https://t.co/gJ7zXzG6y6 https://t.co/cULxVliEXU', 'neg', 1.0)\n",
      "('Happy miming 😹 https://t.co/g1O08YDisl', 'neg', 1.0)\n",
      "('hoy happy birthday!!! 🎉libre moko hehehehhe godbless love u💗 @baesiliow', 'pos', 1.0)\n",
      "(\"RT @reIatabIe: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/XwM40t4Nvc\", 'neg', 1.0)\n",
      "('Muy feliz cumpleaños preciosa https://t.co/GYaCyqCn8Z', 'neg', 1.0)\n",
      "('Happy eclipse day! I remember fondly how we witnessed the 1991 eclipse with family in Mexico. #fondmemories #eclipse', 'neg', 0.6)\n",
      "('Hapipaks! 😄 @ Happy Cup https://t.co/Qp6lsiauIh', 'neg', 1.0)\n",
      "('Happy Days! Make sure you sign up quick! https://t.co/lssXDV8w3M', 'neg', 1.0)\n",
      "('Happy Monday! Come along to Total Adrenaline between 4pm-7pm tonight for HALF PRICE entry! Find out more:… https://t.co/o8IV3suWwy', 'neg', 1.0)\n",
      "('@VivVox ❤️ Alles Liebe &amp; Gute zum Geburtstag ❤️ Happy Birthday to You ❤️\\n\\nhttps://t.co/JXgYrqORIh', 'neg', 1.0)\n",
      "('@1059TheRegion @MikeRosieShow Happy Eclipse Day', 'neg', 1.0)\n",
      "('RT @Kanako_tktk: Aqours 2nd LoveLive! HAPPY PARTY TRAIN TOUR \\n2駅目、神戸での公演無事終了しました！🚃🌙\\n言いたいことがいっぱいあるけどとりあえず、地元愛💛だよ！\\n\\n#lovelive https://t.co/6N…', 'neg', 1.0)\n",
      "('RT @H_adiya: Rt If @TheVampsBrad makes you happy https://t.co/eXddX8N8kV', 'pos', 1.0)\n",
      "(\"@Cornelius_TD As long as it's all threading together I'll be happy\", 'pos', 1.0)\n",
      "('RT @Cbhsclassof2018: HAPPY LAST FIRST DAY SENIORS!!!!! #co2018 #seniors #cypressbay', 'neg', 1.0)\n",
      "('RT @ALDENophileCLUB: Happy Anniversary, @MAINEnatics_OFC! \\n\\n💛 #ALDUBLoveOutLoud', 'neg', 1.0)\n",
      "('Wait! And you happy about this? How? https://t.co/bIb38pmQtY', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @ItsBobbyMares: happy anniversary to my amazing parents! 🌹 what an amazing example of love &amp; kindness. hope to have something as great s…', 'pos', 1.0)\n",
      "('A great read. Well done Gibbo and all the Mt Evelyn Vets. https://t.co/M5h6Pw9QhN', 'pos', 1.0)\n",
      "('RT @cousinmikehawk: everytime i watch this part it makes me so happy, bc he actually listened to everything she had to say unlike her s… ', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('lol pinagtawanan aq ng mga college idk from what sch kc alone akong kumakain ng bff fries &amp; many more idfc at least… https://t.co/KQkNhVKKZz', 'neg', 1.0)\n",
      "('RT @killmefam: hmu when u single https://t.co/P6V80l4iWC', 'neg', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('Happy Monday #loveiseverywhere #nature https://t.co/xLwqbdxtWO', 'neg', 0.8)\n",
      "('Happy Dace for north east fish surveys - Environment Agency https://t.co/yFGyCfz8FP https://t.co/pS6Tkt0b7r', 'pos', 1.0)\n",
      "(\"Happy Solar Eclipse Day! Here's a chart and info to guide you through the course of the day as well as the... https://t.co/SYbjS8w9tv\", 'pos', 0.6)\n",
      "('RT @joejonas: Happy Birthday @ddlovato hope you have the most amazing day! 🎂🎉😎🤗', 'pos', 1.0)\n",
      "(\"RT @livvyidk: all of my favorite people start college tomorrow &amp; tuesday and i am so beyond happy &amp; proud :') 💗\", 'pos', 1.0)\n",
      "('ABH MOON CHILD PALETTE $40.00 @ultabeauty @ABHcosmetics \\n.\\n.\\nSo happy I finally got this one, I… https://t.co/xMmGoMZ1n8', 'pos', 1.0)\n",
      "('RT @SpectrumOfWorld: Wishing @BarunSobtiSays A very happy birthday. You are one heck of an actor. #HappyBirthdayBarunSobti.', 'pos', 1.0)\n",
      "('RT @lucky_forlifexo: EXO will be on KBS Happy Together Summer Holiday Special - Star Golden Bell on August 24 (11:10PM KST)', 'neg', 1.0)\n",
      "('@YunginSickk happy birthday! (:', 'pos', 1.0)\n",
      "(\"This is why Diamond Platinum hasn't ventured into the movie industry..this precaution wouldn't work https://t.co/7ZwdyDVqhb\", 'neg', 1.0)\n",
      "('RT @flattro_: \"Be the energy you want to attract.\" Happy Monday! #MondayMotivaton #MondayMorning https://t.co/d3UldCzWrR', 'neg', 1.0)\n",
      "('RT @hollyshanks14: Happy Aniversery to Abi and the Vom dog🌭🌭', 'neg', 1.0)\n",
      "('RT @MahatOfficial: so happy that I could play a small role in something this big #mersal @actorvijay anna https://t.co/QSES3ALRdX', 'pos', 1.0)\n",
      "('RT @MangteC: So happy to greet and meet @SushmaSwaraj mam, a women who stands tirelessly for India. https://t.co/VCxsEbl0Si', 'pos', 1.0)\n",
      "('RT @FeelingsBible: when do i deserve to be happy?', 'pos', 1.0)\n",
      "('RT @Anthrax: Happy Birthday Bro - Dimebag Darrell \\nAnthrax - In The End\\nDir: Matt Hanrahan https://t.co/nHFcsWreLZ', 'neg', 1.0)\n",
      "('RT @reayonce: 3 months\\n6 months\\n9 months\\n1 year\\nhappy birthday Parker https://t.co/uYQODOzbiY', 'pos', 1.0)\n",
      "('RT @yashar: Something happy before you go to bed: your reminder that baby elephants suck on their trunks just like human babies… ', 'pos', 1.0)\n",
      "('RT @QY73: HAPPY PARTY TRAIN TOUR KOBE記念に千歌ちゃん！ https://t.co/4mLcwCSAZy', 'neg', 1.0)\n",
      "('@SarangGilOppa @gilcuerva It makes my day! And happy birthday Matteo! Binati knba ng asawa mong c Steffi? I just ho… https://t.co/C6djjUV6dX', 'pos', 1.0)\n",
      "('RT @Anjiepops_: Guys I sell plain or happy brownies 😉. Come patronize ya girl. Please retweet😭 https://t.co/5kLj2Ul7ey', 'pos', 0.8)\n",
      "(\"RT @NancySinatra: Dear Jerry💙\\nDad will be as happy to see you as I'm sad to see you go. \\nGive him one of your bear hugs for me. I'll… \", 'neg', 0.8)\n",
      "('RT @fanatic_got7_: GOT7 at the end of LA KCON 2017. They are all so beautiful and look Happy/Proud. ♡😭 https://t.co/uSxkIDNSxW', 'pos', 1.0)\n",
      "('Recently all my life consists of food and prison break and Im happy about that x', 'pos', 1.0)\n",
      "(\"RT @Waterstones: 'Read a lot. Reading really helps. Read anything you can get your hands on.'\\nA huge happy birthday to reading champ… \", 'pos', 1.0)\n",
      "('Good morning &amp; happy Monday, on this very special day!!! #totalsolareclipse https://t.co/ZdahNwlJ3l', 'pos', 1.0)\n",
      "('RT @BTSCulture: In case you\\'re having a bad day, this is a happy Yoongi after winning \"New artist of the year\". https://t.co/WSaf7PhXrA', 'pos', 1.0)\n",
      "(\"happy first day of school!! this is how my mornings going!! no i totally don't want to cry!!! https://t.co/YUgpWCYYhr\", 'pos', 1.0)\n",
      "('@Waqas_amjad Love for Pakistan. Kashmiris are happy about it.', 'pos', 1.0)\n",
      "('RT @sanara_nini: @WHairedFairy @ALDub_RTeam @ofctrendsetter @aldubmaiden @AlDubBigBoyz @jophie30 @linePotz @AlDubBigGirlz… ', 'neg', 1.0)\n",
      "(\"RT @LMKMovieManiac: Happy with #Thalapathy #Vijay's #MersalAlbum? #Mersal songs by @arrahman..\", 'neg', 1.0)\n",
      "('RT @komemerda: Riposa, riposa in pace. Dolce amore...in pace.\\n\\nHappy 10th year anniversary to Umineko https://t.co/xqAsY7Cegc', 'pos', 0.6)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('@jadinemarie_ HAPPY BIRTHDAY, JADINE 😊😊😊😊', 'neg', 1.0)\n",
      "('RT @iamsonalibendre: Wishing all the #bibliophiles a very happy #BookLoversDay! May you spend the day cuddled up in a cozy nook with you… ', 'pos', 1.0)\n",
      "('RT @227eada8efa54eb: @MSpadine @sana_jeevan @TyagrajShekhawt @heroldbarton @AswinTvm3 @aLAURA2015 @cix1808 @cix1819 @M4_VED @DeFaukatrua… ', 'neg', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "(\"RT @hesvalentine: I hope harry is having a wonderful day and that he's happy\", 'pos', 1.0)\n",
      "('@ayapasaylo happy birthday ayana!!! 💖💖', 'pos', 1.0)\n",
      "('RT @DavidOyedepoMin: Happy 35th Wedding Anniversary to my Heaven-sent Wife, Faith Abiola Oyedepo.\\nIt gets sweeter by the day!… ', 'neg', 1.0)\n",
      "('RT @RinaaCollins: accept change it does not happen often for the most of us 💜 \\n   happy #frantasticmonday loves 🌹🌹 https://t.co/OyMvWtabVA', 'pos', 1.0)\n",
      "('@DUALIPA Advance happy birthday my QUEEEEEEN!', 'pos', 1.0)\n",
      "('RT @ayano_yamaki: happy birth day🥂🌟\\n舞彩ちゃんと早く逢いたいな〜\\nそして一緒にステージ立つの夢だなっ\\nロスで頑張ってる姿いつも見てます\\n舞彩ちゃんの歌声がとにかく大好き https://t.co/MobDAiPqGm', 'pos', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('Happy 13th wedding anniversary to my lovely wife Sophia!  God has… https://t.co/w6F0zHb29B', 'pos', 0.6)\n",
      "('RT @ermiesagum: Happy evening👋😊 @ELLESE086 @5Ellisha  @phoebemadrid07 @bibigirlaldub @maloularora36 @TropALDUBPANG @maribelmingua \\n#ALDUBLo…', 'neg', 1.0)\n",
      "('RT @5LDA1lAw1UJsGxt: シノン(≧∇≦)🎉Happy Birthday\\n\\n可愛いお姉ちゃん❤\\nリアルのうちの家に来てください（笑） \\n #シノン生誕祭2017 \\n #シノンが好きな人RT \\n#シノン生誕祭 \\n #RTいいねした人全員フォローする… ', 'neg', 1.0)\n",
      "('im happy that roma is fcking destroyed so wonderfully\\nbut furuta aint going down that easily', 'pos', 0.8)\n",
      "('#QuiddiCompare has just helped another happy customer from Stockport, https://t.co/7m78FpjQ7f #cleversearch #getaloan', 'pos', 1.0)\n",
      "(\"RT @HoySarah: Cause I can't tag y'all @roshyroshrosh @juliusfatball @holam80 \\nMissed y'all so much happy birthday boo ❤️❤️❤️ https://t.co/O…\", 'pos', 1.0)\n",
      "('RT @SexualGif: I just wanna be this happy &amp; stress free https://t.co/DsjLTj1uZP', 'neg', 1.0)\n",
      "('RT @omgfeeIs: the smallest things make me happy', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "(\"I'm trying so hard to be happy with these vibes.\", 'pos', 1.0)\n",
      "(\"Retweet This ツ I'll follow you ☜ You follow back♡ Everyone's Happy :) #MUSTFOLLOW #TeamFollowBack #F4F #FF\", 'neg', 1.0)\n",
      "('@shan_chalmers happy birthday Shannon!! Have a gd 1 lass 😚💓x', 'pos', 1.0)\n",
      "(\"Happy Birthday to my beautiful ginger friend❤️ Soz it's late hope you have the best day! bring on napa babyy☀️ Love… https://t.co/ULByIlKHnv\", 'pos', 1.0)\n",
      "('#Banter1Year One Year On Banter Wow its an amazing server and happy first year @BanterUHC', 'pos', 1.0)\n",
      "(\"RT @Dory: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/H0R1CpA0JB\", 'neg', 1.0)\n",
      "('RT @suwananaka: HAPPY PARTY TRAIN TOUR 神戸 2日目🌟今日もすっごくHAPPYな時間だったな〜💚ご乗車ありがとうございました🚃🚃次は埼玉に向かってしゅっぱーつ！！！✨ ちなみに今回も紫眼なんだよ〜👀気づいたかなん？ https://t.co…', 'neg', 1.0)\n",
      "('RT @IntenseTease: I just wanna be this happy &amp; stress free\\n https://t.co/npLCoWxm9i', 'neg', 1.0)\n",
      "(\"RT @michelledfitt: I was so insecure with my body &amp; then I discovered this. 29 days later &amp; I'm so happy! ☺️ It can't hurt to try! 🤷🏼T… \", 'pos', 1.0)\n",
      "('RT @GirlPosts: LOOK HOW HAPPY SHE IS 😭😭 https://t.co/1VScXgrLxB', 'neg', 1.0)\n",
      "('RT @ODUAlphaPhi: Happy Sunday from the Phis!!💋 https://t.co/pCFq8avpLt', 'neg', 1.0)\n",
      "('RT @cousinmikehawk: everytime i watch this part it makes me so happy, bc he actually listened to everything she had to say unlike her s… ', 'pos', 1.0)\n",
      "(\"RT @1umanta: RT if you know what's going on here https://t.co/X9ZThRA5s6\", 'neg', 1.0)\n",
      "(\"RT @WORLDMUSICAWARD: Happy 25th Birthday to #FTISLAND's Seunghyun! #HappySeungHyunDay \\n💖🇰🇷🎤🎶🎼🎂🎉🎁🎈✨🌟💫🎇 https://t.co/iRDqmzP0IZ\", 'neg', 1.0)\n",
      "(\"#NowPlaying Baby's Gang - Happy Song\", 'neg', 1.0)\n",
      "(\"RT @dijiaderoGBA: Hey guys, my nephew wants a RT from you to be @Pampers ambassador... He's a happy kid...\\n\\nPlease RT 🙏😁🙏😁 https://t.co/LTu…\", 'pos', 1.0)\n",
      "('RT @Livewiretelecom: Happy #WorldEntrepreneursDay complete your goals and create higher ones! 🌏\\n\\n#MondayMotivation https://t.co/HEOwGN5azY', 'neg', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "(\"RT @SyakirahNasri: If you've found someone who's down for you, who treats you well &amp; makes an effort to make you happy, don't let go of the…\", 'pos', 1.0)\n",
      "('RT @softiechans: rt if you love boo seungkwan with all your heart and would do everything you can to make him feel happy and loved', 'pos', 1.0)\n",
      "(\"I'm not happy but I'm not sad either idk\", 'pos', 1.0)\n",
      "('RT @TheHaraZack: Pizza makes me a happy boi x', 'pos', 1.0)\n",
      "('RT @cathucrystle: May u alwz stay happy&amp;blessed  with Pashmeen Both r just luv&amp;happiness #HappyBirthdayBarunSobti @BarunSobtiSays https://t…', 'pos', 0.6)\n",
      "('RT @gowlingwlg_ca: Happy Canada Day from the @gowlingwlg_ca team to you &amp; yours! Wishing all a safe and celebratory weekend:)… ', 'pos', 1.0)\n",
      "(\"RT @michelledfitt: I was so insecure with my body &amp; then I discovered this. 29 days later &amp; I'm so happy! ☺️ It can't hurt to try! 🤷🏼T… \", 'pos', 1.0)\n",
      "('RT @KrutilinaAnna: Uff!😍😍😍 My babies #Sarun 😊\\n\"Happy birthday Bernie love you😘😘😘😘\" - #SanayaIrani on her IG😀😎😋 #SarunHamesha https://t.co/D…', 'pos', 1.0)\n",
      "('RT @hesvalentine: Harry always want to make people happy', 'pos', 1.0)\n",
      "('@Desire_xoxoxo ART (18+) 3D print FREE models ONLY at.................................... wWw . medelis . se\\n\\nEnjoy &amp; Happy printing...', 'neg', 0.8)\n",
      "('@alicebrwne I was about to tweet how happy I am superfood are supporting. how exciting', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @twicesmic: Live trans for Jihyo:\\nI think i am doign something that makes me happy and although i was very nervous it makes me happy', 'pos', 1.0)\n",
      "('RT @VictimsOfA_Down: HAPPY BIRTHDAY #SerjTankian!\\n\\nToday we celebrate the half of a century age of our favorite lead singer wishing him… ', 'neg', 1.0)\n",
      "('RT @manuriosfdez: happy bday love x https://t.co/6lb6JerINW', 'pos', 1.0)\n",
      "('RT @AraiEij: @LaurenVictorita \\n🍀🎀Happy Birthday 🎉 my dear Lauren 🎀🍀😸🎵💞\\nI hope your special day is filled with lots love and laug… ', 'neg', 1.0)\n",
      "('RT @little_amb: Thank you dear @CountRazoff for a Ko-fi! Enjoy a happy Chirrut doodle! ♥ https://t.co/SiIy3dwxLa', 'pos', 0.6)\n",
      "('Watched all three of back to the future yesterday and cried at the end when doc got his happy ending 😭😭😭 #backtothefuture', 'pos', 0.6)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @amordivino20131: Happy Monday! https://t.co/xhg4QIXrsw', 'neg', 1.0)\n",
      "('RT @cristina3popa: @1059TheRegion @MikeRosieShow Happy Eclipse Day', 'neg', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @Jassisidhu: Happy birthday to the sweetest person on here @SamRK21 have an amazig day babes xxx', 'neg', 0.6)\n",
      "('RT @Uooonnn: @zakichreif HaPpy BirthDay Zikooo 💝🎂🎁🎉🎈كل عام وإنت بخير 🎉يااارب بهذي السنة تتحقق كل أمنياتك وتوصل لكل شي بتطمح له \\nJoyeux anni…', 'neg', 1.0)\n",
      "('RT @lucky_forlifexo: EXO will be on KBS Happy Together Summer Holiday Special - Star Golden Bell on August 24 (11:10PM KST)', 'neg', 1.0)\n",
      "('@rapplerdotcom Cojol says he\\'s happy there are less \"DDS trolls\" in the internet quelling opposition.', 'pos', 1.0)\n",
      "('RT @B9AOsEXcatFeIpU: @Vishhman @stykrnfn @BarunSobtiSays .....happy barthday barun Sobti.... Thanks.... \\n@Vishhman https://t.co/8TNJobbkRq', 'neg', 1.0)\n",
      "('Happy Solar Eclipse Day!🕶\\nDayton sees 89% #LifeTimeEvent 🌞🌘🌚 https://t.co/E4H7cEuiMa', 'neg', 1.0)\n",
      "('RT @FCBarcelona: 🎂🎉🎁\\nHappy Birthday Aleix Vidal!!!\\n#Aleix28 https://t.co/NomTzLoBuC', 'neg', 1.0)\n",
      "('【モニカ】ジュエルペットてぃんくる☆OP「Happy☆てぃんくる」その2ですよ。https://t.co/LGac8KATyf', 'neg', 1.0)\n",
      "('@kulula Happy Birthday Kulula! Thank you for helping me create Schweet memories!  #kululaSchweet16', 'neg', 1.0)\n",
      "('Happy birthday 🥂 https://t.co/PNtx62jpdu', 'pos', 1.0)\n",
      "('Happy birthday, @iamjlgd ! All the love 😘💕', 'pos', 1.0)\n",
      "('RT @IntenseTease: I just wanna be this happy &amp; stress free\\n https://t.co/npLCoWxm9i', 'neg', 1.0)\n",
      "(\"RT @ArianaGrande: I missed you too v much 😌\\nbut even when I'm mia I'm loving you know that https://t.co/6TGbDPQhgF\", 'neg', 1.0)\n",
      "(\"RT @ralofamgoon: I try my best to make u happy, that shit seem like it ain't gone never work!!!\", 'pos', 1.0)\n",
      "('RT @joe_cavani2: Thank you Nana swallow 😂😂😂😂 https://t.co/7KBCoGSwqc', 'neg', 1.0)\n",
      "('RT @bectchay1126: Hurting someone with the truth is always better than making them happy with a lie\\n\\nMusicVideoFor MAYMAY \\n#PushAwardsMayWa…', 'pos', 1.0)\n",
      "('RT @7mddahh: i just want u to be happy', 'pos', 0.8)\n",
      "('nicks full body massages make me happy 🌸', 'pos', 1.0)\n",
      "('RT @BUBBLETEAHOLIC: #SEHUN Happy ตื่นเต้นได้เที่ยวอเมริกาเหนือ Vs ตื่นเต้นได้นั่งรถไฟที่ญี่ปุ่นครั้งแรก 😄😁  cr. sehunbaby_ https://t.co/Bei…', 'neg', 1.0)\n",
      "(\"RT @michelledfitt: I was so insecure with my body &amp; then I discovered this. 29 days later &amp; I'm so happy! ☺️ It can't hurt to try! 🤷🏼T… \", 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "(\"RT @michelleamfit: I was so insecure with my body &amp; then I discovered this. 29 days later &amp; I'm so happy! ☺️ It can't hurt to try! 🤷🏼T… \", 'pos', 1.0)\n",
      "(\"@jinrassicparks 🌫🍰🍥🐣❄🍶💛🎈 + your acc is cute, i bet u're a hard stan hahahaha. sty happy and positive loveyou❤\", 'pos', 0.8)\n",
      "('RT @URourheartbeat: Sometimes life can surprise you with a happy coincidence. #GoodNight #UrvashiRautela \\n#TheHighestAlbum #oldbutgold http…', 'pos', 1.0)\n",
      "('Happy birthday my little angel 💖 I love you so much 💞💜 #HappyBirthdayMisha 🎉🎁 https://t.co/VkTGdwoHJx', 'pos', 1.0)\n",
      "('@matthew_nyree happy birthday x', 'pos', 1.0)\n",
      "('RT @blkgirlculture: I can smell this picture. It smells like cocoa butter, cinnamon, brown sugar and sunshine👸🏾🌞 https://t.co/I2tubVGN3m', 'neg', 1.0)\n",
      "('RT @thehorrorcist: Happy 20th Birthday!! \\n\\n https://t.co/nmmpkvYkpW https://t.co/ydG77rWVsd', 'pos', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('RT @vaughnic: So happy to be part of this exciting project #GMOunit soon on #ABSCBN https://t.co/P6AhBmnH9H', 'pos', 1.0)\n",
      "('RT @joejonas: Happy Birthday @ddlovato hope you have the most amazing day! 🎂🎉😎🤗', 'pos', 1.0)\n",
      "('RT @theunitedmanc: \"Substance without style is boring, Style without substance is pointless\" - Johan Cruyff https://t.co/nFGcQBNcPl', 'neg', 1.0)\n",
      "('RT @CAFCofficial: There was one excitable ballboy and a lot of happy Addicks at The Valley on Saturday 😁 #cafc https://t.co/GbuOGyn79c', 'pos', 1.0)\n",
      "('RT @VisitBritain_JP: Happy #AfternoonTeaWeek 🍰 ということで、RT&amp;フォローキャンペーン！都内ホテルアフタヌーンティーをペア4組にプレゼント！当アカウントをフォロー&amp;RTして応募完了です。〆切は８月21日（月） #イギリス… ', 'neg', 1.0)\n",
      "('コレ➡https://t.co/ev6WcuUjri\\r\\r #kemono_friends #処女  #エロ同人 得ろ漫画 えロ漫画 https://t.co/rxfsrLXEKf', 'neg', 1.0)\n",
      "('RT @xa105_: \"Sad teens, happy faces, empty hearts\"', 'neg', 1.0)\n",
      "('@SRKs__Rakesh Nahin yaar sach mein bbau ❤❤tum v happy rehna always 😍❤❤', 'pos', 1.0)\n",
      "('RT @RickyPDillon: CONGRATS @KeshaRose ON YOUR NUMBER 1 ALBUM!!!!! So happy for you 🌈💙', 'pos', 1.0)\n",
      "('RT @pinilitNaDimple: Do more of what makes you happy.\\n#ALDUBLoveOutLoud \\n@wengcookie \\n@lynieg88', 'pos', 1.0)\n",
      "('#frantasticmonday @connorfranta 🔥 https://t.co/022JVWEcSt', 'neg', 1.0)\n",
      "('RT @iaaforg: Happy birthday to the one and only @usainbolt! https://t.co/k2ZBuV3vXg', 'neg', 0.8)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('RT @Wordspokenn: \"The worst part about being sad is that you don\\'t even know what makes you happy anymore.\"', 'neg', 1.0)\n",
      "('RT @RTE2fm: Happy Monday! @nickybyrne &amp; @djjennygreene are LIVE! 😍 https://t.co/FCvc7zDzG0', 'neg', 1.0)\n",
      "('RT @hesvalentine: @Harry_Styles you make me so happy https://t.co/v3PBHIfHrm', 'pos', 1.0)\n",
      "('@HarryMcMullen1 HAPPY BIRTHDAY 🎉🎈🎁 hope you have the best day xx', 'pos', 1.0)\n",
      "('@secretlyadoor there was never parang an official announcement that they were together no? im happy everyone just c… https://t.co/SvxGrwyFTv', 'pos', 1.0)\n",
      "('whatever you do in your life make sure at the end of the day you are happy, life is way too short for stress or being sad', 'pos', 1.0)\n",
      "('RT @delightcy_: Happy Birthday ❤️ thank you for ur years of upbringing to a great pair of siblings &amp; giving them ur fullest support… ', 'pos', 0.6)\n",
      "('@farahrider Weyhhh happy birthday farah!!!! Nanti aku belanja hg kek 😂😁 btw phone aku yg ada whatsapp tu aku tak in… https://t.co/0X0axeKn4G', 'pos', 1.0)\n",
      "('RT @bectchay1126: Hurting someone with the truth is always better than making them happy with a lie\\n\\nMusicVideoFor MAYMAY \\n#PushAwardsMayWa…', 'pos', 1.0)\n",
      "('@DonySap47745826 @SaLeehMuhammed1 @hamzakhald @shahsherazi691 @AngelLe18275418 @Ciin_19 @GigiFollows @gainfallowers… https://t.co/1f42prKrzi', 'neg', 1.0)\n",
      "('RT @born_2jump: Get that citizenship sir 🤣 https://t.co/Vp6Alxx8wY', 'neg', 1.0)\n",
      "('Awwwyouve bet your marriage on it Nice POINTS https://t.co/Ywx5dgrm23', 'neg', 1.0)\n",
      "('RT @camerondallas: Italy never fails to make me so happy', 'neg', 1.0)\n",
      "('RT @fatima_fns_zaki: Happy birthday zikooo 🎂🎈🎉🎁\\n كل عام وانت أغلا حبايب 💕\\n@zakichreif 🎁🎂\\nكل عام وانت نجم النجوم✨  \\n#زكي_شريف https://t.co/E…', 'pos', 1.0)\n",
      "(\"@LoisFlucker Happy 19th Birthday to my sexy mate! Hope you have amazing day and can't wait for Sat, Love ya xx https://t.co/W1wwfNToD0\", 'pos', 1.0)\n",
      "(\"@kicker_eSport @CuloBuster @CrashKeks @christantinium We'll be happy to meet ou there!\", 'pos', 1.0)\n",
      "('Original, 初音ミク・GUMI／ HAPPY SHAPE https://t.co/7Q50uzNG7l #sm31786371 #ニコニコ動画\\n危うさが好き', 'neg', 1.0)\n",
      "('慶ちゃんずーとでるね！💜\\nhappy！💫', 'neg', 1.0)\n",
      "(\"RT @michelledfitt: I was so insecure with my body &amp; then I discovered this. 29 days later &amp; I'm so happy! ☺️ It can't hurt to try! 🤷🏼T… \", 'pos', 1.0)\n",
      "('RT @ddlovato: My life could not be more fufilling. I have the most incredible fans, loving friends and family and all of your bday wishes m…', 'pos', 1.0)\n",
      "('RT @AllyBrooke: Thank You, Jesus, for loving me. Thank You, Jesus, for my loved ones. Thank You, Jesus, for my many blessings. Happy Sunday…', 'pos', 1.0)\n",
      "('Me so happy', 'pos', 1.0)\n",
      "('RT @JaceyLT: I just want to be happy.', 'pos', 1.0)\n",
      "('Happy Monday to Mackenzie TDR1 😊 #level1title #dogsoftwitter https://t.co/CxbVLNLspf', 'neg', 1.0)\n",
      "('@hinatan820 ひなちゃん💕\\nお誕生日だったんだね☺\\nHAPPY BIRTHDAY😌🎁🎂\\nおめでとｫｰ(*ﾟ▽ﾟﾉﾉﾞ☆ﾊﾟﾁﾊﾟﾁ\\n成犬式の晴れ姿楽しみにしてまーす🎵', 'neg', 1.0)\n",
      "('RT @RealDCDom2759: Happy Monday @lacencollar @badkittysub @stepfordwife2Oh @LadyMystique_01 @Lcy2474  @Kitten4Pway @xenon0codex… ', 'neg', 1.0)\n",
      "('RT @Kanako_tktk: Aqours 2nd LoveLive! HAPPY PARTY TRAIN TOUR \\n2駅目、神戸での公演無事終了しました！🚃🌙\\n言いたいことがいっぱいあるけどとりあえず、地元愛💛だよ！\\n\\n#lovelive https://t.co/6N…', 'neg', 1.0)\n",
      "('RT @NouranHisham_: Happy birthday le ahla merzo wla ehh?? Bnhbkk ya mernaa💗💗\\n@mernahassan2181', 'pos', 1.0)\n",
      "('Happy birthday mwa😘 https://t.co/8jL1QTWaT3', 'pos', 1.0)\n",
      "('RT @VisitBritain_JP: Happy #AfternoonTeaWeek 🍰 ということで、RT&amp;フォローキャンペーン！都内ホテルアフタヌーンティーをペア4組にプレゼント！当アカウントをフォロー&amp;RTして応募完了です。〆切は８月21日（月） #イギリス… ', 'neg', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @nico_gaia: @marienassar_ Good morning Marie 🌺wonderful happy new week 🌷 https://t.co/S9HS2q8uX5', 'pos', 1.0)\n",
      "('RT @iD7Mng_Ogami: 【ゲーム情報】星のきらめきをイメージした限定衣装[Happy Sparkle Star!]がレアオーディションに登場中！\\nグループFの、ナギくんと天くんは、8/25 15:59まで！是非ご確認ください。\\n一番くじ⇒… ', 'neg', 1.0)\n",
      "('RT @arlenesg: @1F_st @helenmblanco @Mechis_M @zerok_z @Marisol2224 @kleinslag @sophia_kamy @AdryMMP @SophonThe @carlos01101966… ', 'neg', 1.0)\n",
      "(\"@williamsaine You guys are the best, hope you're happy too!!!!\", 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @TheSoneSource: 170810 SNSD Happy Together Ep511, ENG SUB by kbsworld\\nhttps://t.co/NJExPwrOTD', 'neg', 1.0)\n",
      "('@jordanjankovic happy bday my guy have a good one ☝️', 'neg', 0.6)\n",
      "('@inghever @sitaravirgo @pantone213u @VB8910 @shabasarah @CristinPereyra @avinkrishna1 @pataiildiko @InnPeggy… https://t.co/39v1X2dehd', 'neg', 1.0)\n",
      "(\"RT @SciFiNow: Happy Monday, you gorgeous lot. Who's ready to rock? https://t.co/OWq1r8tVue\", 'pos', 1.0)\n",
      "('Happy birthday cjoy!! 🌻 @cjymendoza', 'pos', 1.0)\n",
      "('Happy anniv mi bracesss👅❤#2years', 'neg', 1.0)\n",
      "('RT @lilbear1228: So happy to have both my brothers back in LA!!! Too bad one of them has to leave again so soon 😭 #tuanfamilyreunion… ', 'neg', 1.0)\n",
      "(\"RT @Braungardtanner: Make yourself happy, can't pour from an empty glass\", 'pos', 0.8)\n",
      "('@UNfuckinJ happy birthday Danny devito', 'pos', 1.0)\n",
      "('#QuiddiCompare has just helped another happy customer from Oldham, https://t.co/7m78FpjQ7f #cleversearch #getaloan', 'pos', 1.0)\n",
      "('RT @bts_bighit: [#꾸기생일ㅊㅋ]\\n\\n★\\n0901\\nHAPPY\\nBIRTHDAY\\nJUNG KOOK\\n#황금막내 #골든데이 https://t.co/4ANZIrGitC', 'neg', 1.0)\n",
      "(\"RT @nikkibonuel: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/6dOLREza4f\", 'neg', 1.0)\n",
      "(\"Ok Monday, let's do this! https://t.co/mpZBrO6nY9\", 'neg', 1.0)\n",
      "('To have them reach the peak of their career and let them safe and happy https://t.co/fKvCpBK2Yb', 'pos', 1.0)\n",
      "('RT @box_komiyaarisa: HAPPY PARTY TRAIN TOUR 2駅目の神戸公演、無事終了しました☺️\\n神戸の2日間も本当に楽しかった！\\n皆さんの素敵な笑顔にたくさんパワーもらったので次の駅にも元気一杯で向かえそうです🚃🚃🚃🚃🚃🚃🚃🚃🚃🚃✨\\n\\n次は… ', 'neg', 1.0)\n",
      "('RT @komemerda: Riposa, riposa in pace. Dolce amore...in pace.\\n\\nHappy 10th year anniversary to Umineko https://t.co/xqAsY7Cegc', 'pos', 0.6)\n",
      "('RT @catheriineeee: HAPPY BIRTHDAY @kenjmichel ❣️❣️❣️❣️ enjoy it 🤗 https://t.co/iZZngZDN0C', 'neg', 1.0)\n",
      "(\"Monday vibes. Don't forget. Make yourself happy first. Stay woke\", 'pos', 1.0)\n",
      "('RT @lilygrevee: Do whatever makes you fucking happy, because no matter what you do someone is always going to have something to say about it', 'pos', 1.0)\n",
      "('Happy birthday @olympicchannel https://t.co/VDN0Zyf094', 'pos', 1.0)\n",
      "('RT @fungah_: so happy that i was able to be a part of this special day for Sean and Lindsey 💖 https://t.co/GRV37TlrGn', 'pos', 1.0)\n",
      "('RT @AUMTAENY: ยังไม่ได้ดูซับไทย Knowing Brother , Running Man , V-Live ก็ยังไม่ได้ดู ดูแล้วแต่ Happy Together จะค่อยๆทยอยดูเพราะไม่มีอะไร S…', 'neg', 1.0)\n",
      "('RT @Mimie_Smallz: Happy birthday Folorunsho!God bless and keep you Baby 💕🎈💋@flowcheezie', 'pos', 1.0)\n",
      "('Weekly Idol and Happy together 3 are ranked 2 and 3 for non-drama TV show ep #wannaone  https://t.co/bdevbASe0Z \\nWa… https://t.co/6lqSNhYI2o', 'neg', 1.0)\n",
      "(\"@ShadowLess97 Didn't get a chance to say it but happy birthday Matt, you the man baby\", 'pos', 1.0)\n",
      "('Happy bday @kilometerrr kahit d tau close beh!! Hahaha. God bless', 'neg', 1.0)\n",
      "('Happy birthday @tristantales I hope you have an amazing day I love you so much Tristan ❤️❤️', 'pos', 1.0)\n",
      "('RT @MeninistGaming: happy birthday, pablo! https://t.co/uZujBITlba', 'pos', 1.0)\n",
      "(\"RT @SoReIatable: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/x103XZjMNm\", 'neg', 1.0)\n",
      "('RT @Kanako_tktk: Aqours 2nd LoveLive! HAPPY PARTY TRAIN TOUR \\n2駅目、神戸での公演無事終了しました！🚃🌙\\n言いたいことがいっぱいあるけどとりあえず、地元愛💛だよ！\\n\\n#lovelive https://t.co/6N…', 'neg', 1.0)\n",
      "(\"RT @ashley_kate190: There's always that one person that just thinking about them makes your heart happy\", 'pos', 1.0)\n",
      "('HAPPY FREAKING BIRTHDAY @BallBrent 🎉🎉🎉 ❤️', 'neg', 1.0)\n",
      "('RT @sukanya: #Fareal. I am back!!  Thank you for watching. @fox5ny https://t.co/RRqKIRb1ql', 'neg', 1.0)\n",
      "('RT @teleworldin: With cute smile and charming personality, here we wish #barunsobti a very Happy Birthday 😍😍 @BarunSobtiSays https://t.co/O…', 'pos', 1.0)\n",
      "('@RobProvince Happy Birthday!', 'neg', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "(\"Happy bday to my bezzie ✌🏼gutted I'm not home to celebrate, have fun &amp; stay cool 😎 @lister21 https://t.co/T7kHKhYrJN\", 'pos', 1.0)\n",
      "('RT @myunwrittensoul: Sad teens.\\n\\nHappy faces.\\n\\nEmpty hearts.', 'neg', 1.0)\n",
      "('RT @czyraaaaax: hoy happy birthday!!! 🎉libre moko hehehehhe godbless love u💗 @baesiliow', 'pos', 1.0)\n",
      "('Thanks Mika!! HAHAHAHAHHA esp if si kuan na... hahaha jk. Loge you too!! More food trips pleasee https://t.co/52KBazCHCV', 'neg', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "('RT @twicesmic: Live trans for Jihyo:\\nAnd i was happy to go but it was Dahyun this time! but she is recovering well!', 'pos', 1.0)\n",
      "('RT @deeBeeCSGO: My first LAN with my team. We are second of four teams but i am still happy. 😌 https://t.co/906gXybjAv', 'pos', 1.0)\n",
      "(\"RT @QuoteNiLuffy: Life is too short to spend it with people who don't make you happy.\", 'pos', 1.0)\n",
      "('RT @SilkySergio: Happy birthday to the best right back in the world since Cafu #Aleix28 https://t.co/n3Ogg0z7UF', 'pos', 1.0)\n",
      "('RT @AlDubBigGirlz: Follow your heart. Enjoy the little things and #ALDUBLoveOutLoud \\nHappy Maineday Neyshen &amp; keep safe! 😘😘… ', 'pos', 0.6)\n",
      "('Happy April Fools Day Everyone... Hope I prank many people!!! =)', 'neg', 1.0)\n",
      "('RT @_chloi: iranian oil laborers were not happy, and neither was the shah. for years the british had abused workers and cheated… ', 'pos', 1.0)\n",
      "(\"RT @HeirOfZion: Wearing black makes me happy. \\nI don't wanna lie.\", 'neg', 1.0)\n",
      "('RT @caricevhouten: Happy days #GameOfThrones https://t.co/wW9YMMF8Ec', 'neg', 1.0)\n",
      "('LIAR. https://t.co/n0Pqjc8Gx4', 'neg', 1.0)\n",
      "('RT @_Aynne_: People who say \"you have to be happy with yourself before being happy with someone else\" have no less than twenty best friends.', 'pos', 1.0)\n",
      "('RT @shibesbot: THIS JUST MADE ME SO HAPPY https://t.co/kPg5ykV3SH', 'neg', 1.0)\n",
      "('RT @ALDENophileCLUB: Happy Anniversary, @MAINEnatics_OFC! \\n\\n💛 #ALDUBLoveOutLoud', 'neg', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "('Naked guys Hunter is pretty happy he stopped by to say hi while he https://t.co/lsqOMdLZBN', 'neg', 0.8)\n",
      "('RT @KalineCountry: August 21, Happy Birthday to the legendary Art Farmer.\\nhttps://t.co/rK77WZS98y w/BillEvans.\\nhttps://t.co/hDP3NyZsBt\\nhttp…', 'neg', 1.0)\n",
      "('RT @rotitoti: If you want to be happy in your relationship, learn to pick your battles.', 'pos', 1.0)\n",
      "(\"RT @kyungsoo_stan: When you're happy EXO's repackage will be out soon but then you realize you still haven't bought The War yet https://t.c…\", 'pos', 1.0)\n",
      "('Miss ko na kayo kahit text conversation lang happy na ako.\\n\\nWeReallyMiss FORTandCHLOE https://t.co/V4KRxyLjZI', 'pos', 1.0)\n",
      "('V happy and v sleepy', 'pos', 1.0)\n",
      "('RT @TheHaraZack: Pizza makes me a happy boi x', 'pos', 1.0)\n",
      "('@properspurscob Happy to actually agree with this one. 😄👍', 'neg', 1.0)\n",
      "('RT @defbbbeom: antis:\\ndragging mark down\\n\\nmeanwhile mark:\\nunbothered, rich, reunited with his family, happy, amazing, talented, smart, inte…', 'pos', 1.0)\n",
      "('@ChaturbateGirlz ART (18+) 3D print FREE models ONLY at.................................... wWw . medelis . se\\n\\nEnjoy &amp; Happy printing...', 'neg', 0.8)\n",
      "('Happy!! https://t.co/rVZV3Zm7Wj', 'neg', 1.0)\n",
      "(\"RT @chopmyheadoff: I was so confused but now I'm happy https://t.co/lTFsFATOqC\", 'neg', 0.8)\n",
      "(\"RT @SoReIatable: somewhere in the distance zac efron asks what about us.... What about everything we've been through https://t.co/x103XZjMNm\", 'neg', 1.0)\n",
      "('RT @AIabedBanaa: Hello my friends, I am very happy to share with you the cover of my book https://t.co/mBw0PJDp3P', 'pos', 1.0)\n",
      "('RT @BarunSobtiPage: #HappyBirthdayBarunSobti may you have success ahead, may your life be full of love, luck and laughter, Happy Birthd… ', 'pos', 1.0)\n",
      "(\"RT @n26: We're happy to announce that we've reached 500.000 customers! Find out where they live, shop and bank on the go:… \", 'pos', 1.0)\n",
      "('congrats @bostonderby 🏆 and also @parisrollergrls🎖 @naptownrg 🎖 https://t.co/5A5D00kPlV', 'neg', 1.0)\n",
      "(\"RT @captaincabello: i love that she's having so much fun and she's so happy 😭 https://t.co/eH1tw9gDEg\", 'pos', 1.0)\n",
      "('ShapeShift_io: ZMaboza DigiByteCoin Please submit a ticket to our support team and they would be happy to assist:\\n\\nhttps://t.co/oyhLQxPhnE', 'pos', 1.0)\n",
      "(\"RT @n26: We're happy to announce that we've reached 500.000 customers! Find out where they live, shop and bank on the go:… \", 'pos', 1.0)\n",
      "('Really Happy To See Pakistan Playing in Pakistan 🤘 https://t.co/bj3YS9qej1', 'neg', 1.0)\n",
      "('Happy Birthday to my oldest daughter Suzanne Slaughter 🎉🎉🎁🎁🎂', 'neg', 1.0)\n",
      "('RT @ALDENophileCLUB: Happy Anniversary, @MAINEnatics_OFC! \\n\\n💛 #ALDUBLoveOutLoud', 'neg', 1.0)\n",
      "(\"RT @kashdoll: I'm progressing I'm happy\", 'pos', 1.0)\n",
      "('@ReedTimmerAccu Ah. Well I had a 50/50 I guess. Happy hunting!!', 'neg', 1.0)\n",
      "('RT @skylyn_velder: happy fricking bday to my bestest friend. i love you so much. i hope you have a rockin day!! thanks for all the mem… ', 'pos', 1.0)\n",
      "('RT @SarahMilla48: Add an emoji to your display name if this is happening against your wil https://t.co/0XG6P9IE5e', 'neg', 1.0)\n",
      "('\"Live is like roller coaster, live it, be happy, enjoy life.\" -Avril Lavigne', 'pos', 1.0)\n",
      "('ARE YOU HAPPY uh? https://t.co/SaafMlw2Fz', 'neg', 1.0)\n",
      "('RT @DanReynolds: happy birthday my Arrow. my best friend. you are my compass. my guide. my light. I am so lucky to be your dada. https://t.…', 'pos', 1.0)\n",
      "('@Simproved @DevonBumpkin @itsleander @StephenKing @TheSims @SimGuruDrake @SimGuruHouts @SimGuruDuke @SimGuruGraham… https://t.co/AZw9qSGcsy', 'neg', 1.0)\n",
      "('RT @Dota2WTF: Special 2M Subscribers, 25 Arcana &amp; 25 Terrain GIVEAWAY, RT + Follow to enter.\\nHappy Christmas ^^ https://t.co/ZF7Z3RPY2n', 'neg', 1.0)\n"
     ]
    },
    {
     "ename": "ProtocolError",
     "evalue": "('Connection broken: IncompleteRead(5530 bytes read)', IncompleteRead(5530 bytes read))",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIncompleteRead\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/http/client.py\u001b[0m in \u001b[0;36m_readinto_chunked\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    587\u001b[0m                 \u001b[0mtemp_mvb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmvb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mchunk_left\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 588\u001b[0;31m                 \u001b[0mn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_safe_readinto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtemp_mvb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    589\u001b[0m                 \u001b[0mmvb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmvb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/http/client.py\u001b[0m in \u001b[0;36m_safe_readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    629\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 630\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mIncompleteRead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmvb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mtotal_bytes\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    631\u001b[0m             \u001b[0mmvb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmvb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIncompleteRead\u001b[0m: IncompleteRead(0 bytes read, 2000 more expected)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mIncompleteRead\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/requests/packages/urllib3/response.py\u001b[0m in \u001b[0;36m_error_catcher\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    297\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 298\u001b[0;31m                 \u001b[0;32myield\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    299\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/requests/packages/urllib3/response.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, amt, decode_content, cache_content)\u001b[0m\n\u001b[1;32m    379\u001b[0m                 \u001b[0mcache_content\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 380\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mamt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    381\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mamt\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Platform-specific: Buggy versions of Python.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/http/client.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, amt)\u001b[0m\n\u001b[1;32m    448\u001b[0m             \u001b[0mb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytearray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mamt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 449\u001b[0;31m             \u001b[0mn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadinto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    450\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mmemoryview\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtobytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/http/client.py\u001b[0m in \u001b[0;36mreadinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    482\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchunked\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 483\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_readinto_chunked\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    484\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/http/client.py\u001b[0m in \u001b[0;36m_readinto_chunked\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    593\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mIncompleteRead\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 594\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mIncompleteRead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mtotal_bytes\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    595\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIncompleteRead\u001b[0m: IncompleteRead(5530 bytes read)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mProtocolError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-137-1512bdcdcae6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     37\u001b[0m \u001b[0mtwitterStream\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mStream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mauth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlistener\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 38\u001b[0;31m \u001b[0mtwitterStream\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfilter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrack\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"happy\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/tweepy/streaming.py\u001b[0m in \u001b[0;36mfilter\u001b[0;34m(self, follow, track, async, locations, stall_warnings, languages, encoding, filter_level)\u001b[0m\n\u001b[1;32m    443\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparams\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'delimited'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'length'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    444\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhost\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'stream.twitter.com'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 445\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0masync\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    446\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    447\u001b[0m     def sitestream(self, follow, stall_warnings=False,\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/tweepy/streaming.py\u001b[0m in \u001b[0;36m_start\u001b[0;34m(self, async)\u001b[0m\n\u001b[1;32m    359\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_thread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    360\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 361\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    362\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    363\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mon_closed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/tweepy/streaming.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0;31m# call a handler first so that the exception can be logged.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    293\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistener\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexception\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 294\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mexception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    295\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    296\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/tweepy/streaming.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    261\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msnooze_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msnooze_time_step\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    262\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistener\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_connect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_read_loop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    264\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mTimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mssl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSLError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m                 \u001b[0;31m# This is still necessary, as a SSLError can actually be\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/tweepy/streaming.py\u001b[0m in \u001b[0;36m_read_loop\u001b[0;34m(self, resp)\u001b[0m\n\u001b[1;32m    320\u001b[0m                     \u001b[0;32mraise\u001b[0m \u001b[0mTweepError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Expecting length, unexpected value found'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    321\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 322\u001b[0;31m             \u001b[0mnext_status_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbuf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_len\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlength\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    323\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrunning\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    324\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnext_status_obj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/tweepy/streaming.py\u001b[0m in \u001b[0;36mread_len\u001b[0;34m(self, length)\u001b[0m\n\u001b[1;32m    161\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_pop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlength\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m             \u001b[0mread_len\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_chunk_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlength\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_buffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 163\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_buffer\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stream\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mread_len\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    164\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mread_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/requests/packages/urllib3/response.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, amt, decode_content, cache_content)\u001b[0m\n\u001b[1;32m    395\u001b[0m                         \u001b[0;31m# raised during streaming, so all calls with incorrect\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    396\u001b[0m                         \u001b[0;31m# Content-Length are caught.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 397\u001b[0;31m                         \u001b[0;32mraise\u001b[0m \u001b[0mIncompleteRead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fp_bytes_read\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlength_remaining\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    398\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    399\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/contextlib.py\u001b[0m in \u001b[0;36m__exit__\u001b[0;34m(self, type, value, traceback)\u001b[0m\n\u001b[1;32m     98\u001b[0m                 \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     99\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 100\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mthrow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraceback\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    101\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"generator didn't stop after throw()\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    102\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/akanshajain/anaconda/lib/python3.6/site-packages/requests/packages/urllib3/response.py\u001b[0m in \u001b[0;36m_error_catcher\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    314\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mHTTPException\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSocketError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    315\u001b[0m                 \u001b[0;31m# This includes IncompleteRead.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 316\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mProtocolError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Connection broken: %r'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    317\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    318\u001b[0m             \u001b[0;31m# If no exception is thrown, we should avoid cleaning up\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mProtocolError\u001b[0m: ('Connection broken: IncompleteRead(5530 bytes read)', IncompleteRead(5530 bytes read))"
     ]
    }
   ],
   "source": [
    "#Twitter Sentiment Analysis\n",
    "from tweepy import Stream\n",
    "from tweepy import OAuthHandler\n",
    "from tweepy.streaming import StreamListener\n",
    "import json\n",
    "import sentiment_mod as s\n",
    "\n",
    "#consumer key, consumer secret, access token, access secret.\n",
    "ckey=\"KtjFT3wOmsu8oArjEUsQP9Ceo\"\n",
    "csecret=\"OOcVpjljNqpYe0UFAse8W5PK3fWjMRVanFf4BAx0Y5DiE13vqE\"\n",
    "atoken=\"86505353-tJuvKReog7CbCyqSx0iErqmYTdZgFYokQPYfQzxr4\"\n",
    "asecret=\"4myG6d4XMM7a7oNV9c3drgAWXbajwsso9NS2AJzB1RYlO\"\n",
    "\n",
    "class listener(StreamListener):\n",
    "\n",
    "    def on_data(self, data):\n",
    "        all_data = json.loads(data)\n",
    "        \n",
    "        tweet = all_data[\"text\"]\n",
    "        sentiment_value,confidence=s.sentiment(tweet)\n",
    "        print((tweet, sentiment_value, confidence))\n",
    "        \n",
    "        if confidence*100>=80:\n",
    "            output=open('twitter-out.txt','a')\n",
    "            output.write(sentiment_value)\n",
    "            output.write('\\n')\n",
    "            output.close()\n",
    "        \n",
    "        return True\n",
    "\n",
    "    def on_error(self, status):\n",
    "        print(status)\n",
    "\n",
    "auth = OAuthHandler(ckey, csecret)\n",
    "auth.set_access_token(atoken, asecret)\n",
    "\n",
    "twitterStream = Stream(auth, listener())\n",
    "twitterStream.filter(track=[\"happy\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f448b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Graphing Live Twitter Sentiment\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation as animation\n",
    "from matplotlib import style\n",
    "\n",
    "style.use('ggplot')\n",
    "\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(1,1,1)\n",
    "def animate(i):\n",
    "    pullData = open('twitter-out.txt','r').read()\n",
    "    lines=pullData.split('\\n')\n",
    "    xar=[]\n",
    "    yar=[]\n",
    "    x=0\n",
    "    y=0\n",
    "    for l in lines:\n",
    "        x+=1\n",
    "        if 'pos' in l:\n",
    "            y+=1\n",
    "        elif 'neg' in l:\n",
    "            y-=0.3\n",
    "        xar.append(x)\n",
    "        yar.append(y)\n",
    "            \n",
    "    ax1.clear()\n",
    "    ax1.plot(xar, yar)\n",
    "ani = animation.FuncAnimation(fig, animate, interval=1000)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}