Update README.md

[battle-of-the-bands.git] / read-emotion-lexicon.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline  \n",
    "\n",
    "import re\n",
    "import pymongo\n",
    "\n",
    "import collections\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Open a connection to the Mongo server\n",
    "client = pymongo.MongoClient('mongodb://localhost:27017/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a database and a collections within it.\n",
    "songs_db = client.songs\n",
    "albums = songs_db.albums\n",
    "tracks = songs_db.tracks\n",
    "genius_tracks = songs_db.gtracks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentiments = songs_db.sentiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "argument anger 1\n",
      "argument negative 1\n",
      "argumentation anger 1\n",
      "argumentative negative 1\n",
      "arguments anger 1\n",
      "arid negative 1\n",
      "arid sadness 1\n",
      "aristocracy positive 1\n",
      "aristocratic positive 1\n",
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      "armament fear 1\n",
      "armaments fear 1\n",
      "armaments negative 1\n",
      "armed anger 1\n",
      "armed fear 1\n",
      "armed negative 1\n",
      "armed positive 1\n",
      "armor fear 1\n",
      "armor positive 1\n",
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      "arouse anticipation 1\n",
      "arouse positive 1\n",
      "arraignment anger 1\n",
      "arraignment fear 1\n",
      "arraignment negative 1\n",
      "arraignment sadness 1\n",
      "array positive 1\n",
      "arrears negative 1\n",
      "arrest negative 1\n",
      "arrival anticipation 1\n",
      "arrive anticipation 1\n",
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      "arrogant anger 1\n",
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      "arrogant negative 1\n",
      "arsenic disgust 1\n",
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      "art joy 1\n",
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      "art sadness 1\n",
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      "articulate positive 1\n",
      "articulation positive 1\n",
      "artillery fear 1\n",
      "artillery negative 1\n",
      "artisan positive 1\n",
      "artiste positive 1\n",
      "artistic positive 1\n",
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      "ascent positive 1\n",
      "ash negative 1\n",
      "ashamed disgust 1\n",
      "ashamed negative 1\n",
      "ashamed sadness 1\n",
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      "ashes sadness 1\n",
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      "aspiring anticipation 1\n",
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      "assail anger 1\n",
      "assail fear 1\n",
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      "assail surprise 1\n",
      "assailant anger 1\n",
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      "assailant negative 1\n",
      "assailant sadness 1\n",
      "assassin anger 1\n",
      "assassin fear 1\n",
      "assassin negative 1\n",
      "assassin sadness 1\n",
      "assassinate anger 1\n",
      "assassinate fear 1\n",
      "assassinate negative 1\n",
      "assassination anger 1\n",
      "assassination fear 1\n",
      "assassination negative 1\n",
      "assassination sadness 1\n",
      "assault anger 1\n",
      "assault fear 1\n",
      "assault negative 1\n",
      "assembly positive 1\n",
      "assembly trust 1\n",
      "assent positive 1\n",
      "asserting positive 1\n",
      "asserting trust 1\n",
      "assessment surprise 1\n",
      "assessment trust 1\n",
      "assessor trust 1\n",
      "assets positive 1\n",
      "asshole anger 1\n",
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      "asshole negative 1\n",
      "assignee trust 1\n",
      "assist positive 1\n",
      "assist trust 1\n",
      "assistance positive 1\n",
      "associate positive 1\n",
      "associate trust 1\n",
      "association trust 1\n",
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      "assurance positive 1\n",
      "assurance trust 1\n",
      "assure trust 1\n",
      "assured positive 1\n",
      "assured trust 1\n",
      "assuredly trust 1\n",
      "astonishingly positive 1\n",
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      "astringent negative 1\n",
      "astrologer anticipation 1\n",
      "astrologer positive 1\n",
      "astronaut positive 1\n",
      "astronomer anticipation 1\n",
      "astronomer positive 1\n",
      "astute positive 1\n",
      "asylum fear 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "asylum negative 1\n",
      "asymmetry disgust 1\n",
      "atheism negative 1\n",
      "atherosclerosis fear 1\n",
      "atherosclerosis negative 1\n",
      "atherosclerosis sadness 1\n",
      "athlete positive 1\n",
      "athletic positive 1\n",
      "atom positive 1\n",
      "atone anticipation 1\n",
      "atone joy 1\n",
      "atone positive 1\n",
      "atone trust 1\n",
      "atonement positive 1\n",
      "atrocious anger 1\n",
      "atrocious disgust 1\n",
      "atrocious negative 1\n",
      "atrocity anger 1\n",
      "atrocity disgust 1\n",
      "atrocity fear 1\n",
      "atrocity negative 1\n",
      "atrocity sadness 1\n",
      "atrophy disgust 1\n",
      "atrophy fear 1\n",
      "atrophy negative 1\n",
      "atrophy sadness 1\n",
      "attachment positive 1\n",
      "attack anger 1\n",
      "attack fear 1\n",
      "attack negative 1\n",
      "attacking anger 1\n",
      "attacking disgust 1\n",
      "attacking fear 1\n",
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      "attacking sadness 1\n",
      "attacking surprise 1\n",
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      "attendant trust 1\n",
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      "attenuation negative 1\n",
      "attenuation sadness 1\n",
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      "attestation trust 1\n",
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      "attractiveness positive 1\n",
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      "audience anticipation 1\n",
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      "autopsy sadness 1\n",
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      "babbling negative 1\n",
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      "bank trust 1\n",
      "banker trust 1\n",
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      "barbaric anger 1\n",
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      "barbarism negative 1\n",
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      "barf disgust 1\n",
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      "bargain trust 1\n",
      "bark anger 1\n",
      "bark negative 1\n",
      "barred negative 1\n",
      "barren negative 1\n",
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      "barter trust 1\n",
      "base trust 1\n",
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      "basketball anticipation 1\n",
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      "basketball positive 1\n",
      "bastard disgust 1\n",
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      "battered fear 1\n",
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      "battled sadness 1\n",
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      "battlefield negative 1\n",
      "bawdy negative 1\n",
      "bayonet anger 1\n",
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      "beach joy 1\n",
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      "beastly negative 1\n",
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      "boisterous negative 1\n",
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      "clouded negative 1\n",
      "clouded sadness 1\n",
      "cloudiness fear 1\n",
      "cloudiness negative 1\n",
      "cloudy sadness 1\n",
      "clown anticipation 1\n",
      "clown joy 1\n",
      "clown positive 1\n",
      "clown surprise 1\n",
      "clue anticipation 1\n",
      "clump negative 1\n",
      "clumsy disgust 1\n",
      "clumsy negative 1\n",
      "coach trust 1\n",
      "coalesce trust 1\n",
      "coalition positive 1\n",
      "coast positive 1\n",
      "coax trust 1\n",
      "cobra fear 1\n",
      "cocaine negative 1\n",
      "cocaine sadness 1\n",
      "coerce anger 1\n",
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      "coexist positive 1\n",
      "coexist trust 1\n",
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      "coffin fear 1\n",
      "coffin negative 1\n",
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      "cogent positive 1\n",
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      "cognitive positive 1\n",
      "coherence positive 1\n",
      "coherent positive 1\n",
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      "cohesive positive 1\n",
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      "coincidence surprise 1\n",
      "cold negative 1\n",
      "coldly negative 1\n",
      "coldness anger 1\n",
      "coldness disgust 1\n",
      "coldness fear 1\n",
      "coldness negative 1\n",
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      "colic negative 1\n",
      "collaborator trust 1\n",
      "collapse disgust 1\n",
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      "collateral trust 1\n",
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      "collusion anger 1\n",
      "collusion disgust 1\n",
      "collusion fear 1\n",
      "collusion negative 1\n",
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      "colonel positive 1\n",
      "colonel trust 1\n",
      "colossal positive 1\n",
      "coma fear 1\n",
      "coma negative 1\n",
      "coma sadness 1\n",
      "comatose fear 1\n",
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      "comfort anticipation 1\n",
      "comfort joy 1\n",
      "comfort positive 1\n",
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      "coming anticipation 1\n",
      "commandant positive 1\n",
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      "commemorate anticipation 1\n",
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      "commend positive 1\n",
      "commendable joy 1\n",
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      "commentator positive 1\n",
      "commerce trust 1\n",
      "commission trust 1\n",
      "committal negative 1\n",
      "committal sadness 1\n",
      "committed positive 1\n",
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      "committee trust 1\n",
      "commodore positive 1\n",
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      "commonplace anticipation 1\n",
      "commonplace trust 1\n",
      "commonwealth positive 1\n",
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      "commotion anger 1\n",
      "commotion negative 1\n",
      "communicate positive 1\n",
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      "communicative positive 1\n",
      "communion joy 1\n",
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      "communism anger 1\n",
      "communism fear 1\n",
      "communism negative 1\n",
      "communism sadness 1\n",
      "communist negative 1\n",
      "community positive 1\n",
      "commutation positive 1\n",
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      "compact trust 1\n",
      "companion joy 1\n",
      "companion positive 1\n",
      "companion trust 1\n",
      "compass trust 1\n",
      "compassion fear 1\n",
      "compassion positive 1\n",
      "compassionate positive 1\n",
      "compatibility positive 1\n",
      "compatible positive 1\n",
      "compelling positive 1\n",
      "compensate anticipation 1\n",
      "compensate joy 1\n",
      "compensate positive 1\n",
      "compensate surprise 1\n",
      "compensate trust 1\n",
      "compensatory positive 1\n",
      "competence positive 1\n",
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      "competency positive 1\n",
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      "competition anticipation 1\n",
      "competition negative 1\n",
      "complacency positive 1\n",
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      "complaint negative 1\n",
      "complement anticipation 1\n",
      "complement joy 1\n",
      "complement positive 1\n",
      "complement surprise 1\n",
      "complement trust 1\n",
      "complementary positive 1\n",
      "completely positive 1\n",
      "completeness positive 1\n",
      "completing anticipation 1\n",
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      "completion anticipation 1\n",
      "completion joy 1\n",
      "completion positive 1\n",
      "complexed negative 1\n",
      "complexity negative 1\n",
      "compliance positive 1\n",
      "compliance trust 1\n",
      "compliant positive 1\n",
      "complicate anger 1\n",
      "complicate negative 1\n",
      "complicated negative 1\n",
      "complication negative 1\n",
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      "complicity positive 1\n",
      "compliment anticipation 1\n",
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      "compliment surprise 1\n",
      "compliment trust 1\n",
      "composed positive 1\n",
      "composer positive 1\n",
      "compost disgust 1\n",
      "compost negative 1\n",
      "composure positive 1\n",
      "comprehend positive 1\n",
      "comprehensive positive 1\n",
      "compress anger 1\n",
      "comptroller trust 1\n",
      "compulsion anger 1\n",
      "compulsion negative 1\n",
      "compulsory negative 1\n",
      "comrade positive 1\n",
      "comrade trust 1\n",
      "conceal negative 1\n",
      "conceal sadness 1\n",
      "concealed anticipation 1\n",
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      "conceit negative 1\n",
      "conceited negative 1\n",
      "concentric positive 1\n",
      "concerned fear 1\n",
      "concerned sadness 1\n",
      "conciliation joy 1\n",
      "conciliation positive 1\n",
      "conciliation trust 1\n",
      "concluding positive 1\n",
      "concord positive 1\n",
      "concord trust 1\n",
      "concordance positive 1\n",
      "concordance trust 1\n",
      "concussion anger 1\n",
      "concussion negative 1\n",
      "concussion sadness 1\n",
      "condemn anger 1\n",
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      "condemnation anger 1\n",
      "condemnation anticipation 1\n",
      "condemnation disgust 1\n",
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      "condescending negative 1\n",
      "condescension anger 1\n",
      "condescension disgust 1\n",
      "condescension negative 1\n",
      "condescension sadness 1\n",
      "condolence positive 1\n",
      "condolence sadness 1\n",
      "condone positive 1\n",
      "conducive positive 1\n",
      "conductivity positive 1\n",
      "confederate positive 1\n",
      "confederate trust 1\n",
      "confess negative 1\n",
      "confess positive 1\n",
      "confess trust 1\n",
      "confession anticipation 1\n",
      "confession fear 1\n",
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      "confessional fear 1\n",
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      "confide trust 1\n",
      "confidence fear 1\n",
      "confidence joy 1\n",
      "confidence positive 1\n",
      "confidence trust 1\n",
      "confident joy 1\n",
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      "confidentially trust 1\n",
      "confine anger 1\n",
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      "confinement anger 1\n",
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      "confinement negative 1\n",
      "confinement sadness 1\n",
      "confirmation trust 1\n",
      "confirmed positive 1\n",
      "confirmed trust 1\n",
      "confiscate anger 1\n",
      "confiscate negative 1\n",
      "confiscate sadness 1\n",
      "confiscation negative 1\n",
      "conflagration anger 1\n",
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      "conflagration negative 1\n",
      "conflict anger 1\n",
      "conflict fear 1\n",
      "conflict negative 1\n",
      "conflict sadness 1\n",
      "conflicting negative 1\n",
      "conformance positive 1\n",
      "conformity trust 1\n",
      "confound negative 1\n",
      "confounded negative 1\n",
      "confront anger 1\n",
      "confuse negative 1\n",
      "confusion anger 1\n",
      "confusion fear 1\n",
      "confusion negative 1\n",
      "congenial positive 1\n",
      "congestion negative 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conglomerate trust 1\n",
      "congratulatory joy 1\n",
      "congratulatory positive 1\n",
      "congregation positive 1\n",
      "congregation trust 1\n",
      "congress disgust 1\n",
      "congress trust 1\n",
      "congressman trust 1\n",
      "congruence positive 1\n",
      "congruence trust 1\n",
      "conjecture anticipation 1\n",
      "conjure anticipation 1\n",
      "conjure surprise 1\n",
      "conjuring negative 1\n",
      "connective trust 1\n",
      "connoisseur joy 1\n",
      "connoisseur positive 1\n",
      "connoisseur trust 1\n",
      "conquest anger 1\n",
      "conquest fear 1\n",
      "conquest negative 1\n",
      "conscience positive 1\n",
      "conscience trust 1\n",
      "conscientious positive 1\n",
      "conscientious trust 1\n",
      "consciousness positive 1\n",
      "consecration anticipation 1\n",
      "consecration joy 1\n",
      "consecration positive 1\n",
      "consecration sadness 1\n",
      "consecration trust 1\n",
      "consequent anticipation 1\n",
      "conservation anticipation 1\n",
      "conservation positive 1\n",
      "conservation trust 1\n",
      "conserve positive 1\n",
      "considerable positive 1\n",
      "considerate positive 1\n",
      "considerate trust 1\n",
      "consistency positive 1\n",
      "consistency trust 1\n",
      "console positive 1\n",
      "console sadness 1\n",
      "consonant positive 1\n",
      "consort trust 1\n",
      "conspiracy fear 1\n",
      "conspirator anger 1\n",
      "conspirator anticipation 1\n",
      "conspirator disgust 1\n",
      "conspirator fear 1\n",
      "conspirator negative 1\n",
      "conspire fear 1\n",
      "conspire negative 1\n",
      "constable trust 1\n",
      "constancy positive 1\n",
      "constancy trust 1\n",
      "constant positive 1\n",
      "constant trust 1\n",
      "constantly trust 1\n",
      "consternation anger 1\n",
      "consternation fear 1\n",
      "consternation negative 1\n",
      "constipation disgust 1\n",
      "constipation negative 1\n",
      "constitute trust 1\n",
      "constitutional positive 1\n",
      "constitutional trust 1\n",
      "constrain fear 1\n",
      "constrain negative 1\n",
      "constrained negative 1\n",
      "constraint anger 1\n",
      "constraint fear 1\n",
      "constraint negative 1\n",
      "constraint sadness 1\n",
      "construct positive 1\n",
      "consul trust 1\n",
      "consult trust 1\n",
      "consummate positive 1\n",
      "contact positive 1\n",
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      "contagion disgust 1\n",
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      "contagious fear 1\n",
      "contagious negative 1\n",
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      "contaminate negative 1\n",
      "contaminated disgust 1\n",
      "contaminated fear 1\n",
      "contaminated negative 1\n",
      "contaminated sadness 1\n",
      "contamination disgust 1\n",
      "contamination negative 1\n",
      "contemplation positive 1\n",
      "contempt anger 1\n",
      "contempt disgust 1\n",
      "contempt fear 1\n",
      "contempt negative 1\n",
      "contemptible anger 1\n",
      "contemptible disgust 1\n",
      "contemptible negative 1\n",
      "contemptuous anger 1\n",
      "contemptuous negative 1\n",
      "content joy 1\n",
      "content positive 1\n",
      "content trust 1\n",
      "contentious anger 1\n",
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      "contentious negative 1\n",
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      "continuation anticipation 1\n",
      "continue anticipation 1\n",
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      "continue trust 1\n",
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      "contraband anger 1\n",
      "contraband disgust 1\n",
      "contraband fear 1\n",
      "contraband negative 1\n",
      "contracted negative 1\n",
      "contradict anger 1\n",
      "contradict negative 1\n",
      "contradiction negative 1\n",
      "contradictory negative 1\n",
      "contrary negative 1\n",
      "contrasted negative 1\n",
      "contravene negative 1\n",
      "contravention negative 1\n",
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      "contributor positive 1\n",
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      "convent trust 1\n",
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      "conversational positive 1\n",
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      "convict disgust 1\n",
      "convict fear 1\n",
      "convict negative 1\n",
      "convict sadness 1\n",
      "conviction negative 1\n",
      "convince anticipation 1\n",
      "convince positive 1\n",
      "convince trust 1\n",
      "convinced trust 1\n",
      "convincing trust 1\n",
      "cool positive 1\n",
      "coolness positive 1\n",
      "coop anger 1\n",
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      "cooperate positive 1\n",
      "cooperating positive 1\n",
      "cooperating trust 1\n",
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      "coroner negative 1\n",
      "corporal negative 1\n",
      "corporation positive 1\n",
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      "corpse sadness 1\n",
      "correction negative 1\n",
      "corrective positive 1\n",
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      "corrosive fear 1\n",
      "corrosive negative 1\n",
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      "corrupting anger 1\n",
      "corrupting disgust 1\n",
      "corrupting fear 1\n",
      "corrupting negative 1\n",
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      "corruption disgust 1\n",
      "corruption negative 1\n",
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      "cosmopolitan positive 1\n",
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      "cough negative 1\n",
      "council anticipation 1\n",
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      "counsellor anger 1\n",
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      "counselor positive 1\n",
      "counselor trust 1\n",
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      "county trust 1\n",
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      "coursing negative 1\n",
      "court anger 1\n",
      "court anticipation 1\n",
      "court fear 1\n",
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      "courtesy positive 1\n",
      "courtship anticipation 1\n",
      "courtship joy 1\n",
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      "cove anticipation 1\n",
      "cove disgust 1\n",
      "cove fear 1\n",
      "cove joy 1\n",
      "cove positive 1\n",
      "covenant positive 1\n",
      "covenant trust 1\n",
      "cover trust 1\n",
      "covet negative 1\n",
      "coward disgust 1\n",
      "coward fear 1\n",
      "coward negative 1\n",
      "coward sadness 1\n",
      "cowardice fear 1\n",
      "cowardice negative 1\n",
      "cowardly fear 1\n",
      "cowardly negative 1\n",
      "coy fear 1\n",
      "coyote fear 1\n",
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      "crabby negative 1\n",
      "crack negative 1\n",
      "cracked anger 1\n",
      "cracked fear 1\n",
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      "cracking negative 1\n",
      "cradle anticipation 1\n",
      "cradle joy 1\n",
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      "crank negative 1\n",
      "cranky anger 1\n",
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      "craving anticipation 1\n",
      "crawl disgust 1\n",
      "crawl negative 1\n",
      "crazed anger 1\n",
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      "crazy fear 1\n",
      "crazy negative 1\n",
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      "creaking negative 1\n",
      "cream anticipation 1\n",
      "cream joy 1\n",
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      "creature fear 1\n",
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      "credence trust 1\n",
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      "credential trust 1\n",
      "credibility positive 1\n",
      "credibility trust 1\n",
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      "credible trust 1\n",
      "credit positive 1\n",
      "credit trust 1\n",
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      "creditable trust 1\n",
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      "crescendo anticipation 1\n",
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      "crew trust 1\n",
      "crime anger 1\n",
      "crime negative 1\n",
      "criminal anger 1\n",
      "criminal disgust 1\n",
      "criminal fear 1\n",
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      "cringe negative 1\n",
      "cringe sadness 1\n",
      "cripple fear 1\n",
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      "cripple sadness 1\n",
      "crippled negative 1\n",
      "crippled sadness 1\n",
      "crisis negative 1\n",
      "crisp negative 1\n",
      "crisp trust 1\n",
      "critic negative 1\n",
      "criticism anger 1\n",
      "criticism negative 1\n",
      "criticism sadness 1\n",
      "criticize anger 1\n",
      "criticize disgust 1\n",
      "criticize fear 1\n",
      "criticize negative 1\n",
      "criticize sadness 1\n",
      "critique positive 1\n",
      "critter disgust 1\n",
      "crocodile fear 1\n",
      "crook negative 1\n",
      "cross anger 1\n",
      "cross fear 1\n",
      "cross negative 1\n",
      "cross sadness 1\n",
      "crouch fear 1\n",
      "crouching fear 1\n",
      "crouching negative 1\n",
      "crowning anticipation 1\n",
      "crowning joy 1\n",
      "crowning positive 1\n",
      "crowning surprise 1\n",
      "crowning trust 1\n",
      "crucial positive 1\n",
      "crucial trust 1\n",
      "cruciate negative 1\n",
      "crucifixion anger 1\n",
      "crucifixion disgust 1\n",
      "crucifixion fear 1\n",
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      "crucifixion sadness 1\n",
      "crude disgust 1\n",
      "crude negative 1\n",
      "cruel anger 1\n",
      "cruel disgust 1\n",
      "cruel fear 1\n",
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      "cruel sadness 1\n",
      "cruelly anger 1\n",
      "cruelly fear 1\n",
      "cruelly negative 1\n",
      "cruelty anger 1\n",
      "cruelty disgust 1\n",
      "cruelty fear 1\n",
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      "debate positive 1\n",
      "debauchery disgust 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "debauchery fear 1\n",
      "debauchery negative 1\n",
      "debenture anticipation 1\n",
      "debris disgust 1\n",
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      "decency positive 1\n",
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      "fiasco negative 1\n",
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      "fickle negative 1\n",
      "fictitious negative 1\n",
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     "text": [
      "fixture positive 1\n",
      "flabby disgust 1\n",
      "flabby negative 1\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "herpesvirus disgust 1\n",
      "herpesvirus negative 1\n",
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    {
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      "malfeasance negative 1\n",
      "malformation negative 1\n",
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      "malignant negative 1\n",
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      "maniac fear 1\n",
      "maniac negative 1\n",
      "maniacal negative 1\n",
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      "manly positive 1\n",
      "manna positive 1\n",
      "mannered positive 1\n",
      "manners positive 1\n",
      "manslaughter anger 1\n",
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      "manslaughter negative 1\n",
      "manslaughter sadness 1\n",
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      "master positive 1\n",
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      "meandering negative 1\n",
      "meaningless negative 1\n",
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     ]
    },
    {
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     "text": [
      "overdo negative 1\n",
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      "overdue anticipation 1\n",
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      "saber negative 1\n",
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      "sabotage negative 1\n",
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      "sacrifices fear 1\n",
      "sacrifices negative 1\n",
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      "sadly negative 1\n",
      "sadly sadness 1\n",
      "sadness negative 1\n",
      "sadness sadness 1\n",
      "sadness trust 1\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "safe joy 1\n",
      "safe positive 1\n",
      "safe trust 1\n",
      "safeguard positive 1\n",
      "safeguard trust 1\n",
      "safekeeping trust 1\n",
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      "salvation joy 1\n",
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      "sanctuary joy 1\n",
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      "sanguine positive 1\n",
      "sanitary positive 1\n",
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      "sarcasm negative 1\n",
      "sarcasm sadness 1\n",
      "sarcoma fear 1\n",
      "sarcoma negative 1\n",
      "sarcoma sadness 1\n",
      "sardonic negative 1\n",
      "satanic anger 1\n",
      "satanic negative 1\n",
      "satin positive 1\n",
      "satisfactorily positive 1\n",
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      "savvy positive 1\n",
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      "scaffold negative 1\n",
      "scalpel fear 1\n",
      "scalpel negative 1\n",
      "scaly negative 1\n",
      "scandal fear 1\n",
      "scandal negative 1\n",
      "scandalous anger 1\n",
      "scandalous negative 1\n",
      "scanty negative 1\n",
      "scapegoat anger 1\n",
      "scapegoat fear 1\n",
      "scapegoat negative 1\n",
      "scar anger 1\n",
      "scar disgust 1\n",
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      "scar negative 1\n",
      "scar sadness 1\n",
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      "scarcely sadness 1\n",
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      "schizophrenia disgust 1\n",
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      "schizophrenia negative 1\n",
      "schizophrenia sadness 1\n",
      "scholar positive 1\n",
      "scholarship joy 1\n",
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      "scoundrel trust 1\n",
      "scourge anger 1\n",
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      "scrambling negative 1\n",
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      "sentence anger 1\n",
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      "sentence disgust 1\n",
      "sentence fear 1\n",
      "sentence negative 1\n",
      "sentence sadness 1\n",
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      "sentimentality positive 1\n",
      "sentinel positive 1\n",
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      "sharpen anger 1\n",
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      "shatter anger 1\n",
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      "shortage sadness 1\n",
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     "text": [
      "shortly anticipation 1\n",
      "shot anger 1\n",
      "shot fear 1\n",
      "shot negative 1\n",
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      "smug negative 1\n",
      "smuggle fear 1\n",
      "smuggle negative 1\n",
      "smuggler anger 1\n",
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      "smuggler fear 1\n",
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      "smuggling negative 1\n",
      "smut disgust 1\n",
      "smut fear 1\n",
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      "snag negative 1\n",
      "snag surprise 1\n",
      "snags negative 1\n",
      "snake disgust 1\n",
      "snake fear 1\n",
      "snake negative 1\n",
      "snare fear 1\n",
      "snare negative 1\n",
      "snarl anger 1\n",
      "snarl disgust 1\n",
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      "snarling anger 1\n",
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      "sneak fear 1\n",
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      "sneer anger 1\n",
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      "sneeze surprise 1\n",
      "snicker positive 1\n",
      "snide negative 1\n",
      "snob negative 1\n",
      "snort sadness 1\n",
      "soak negative 1\n",
      "sob negative 1\n",
      "sob sadness 1\n",
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      "sobriety trust 1\n",
      "sociable positive 1\n",
      "socialism disgust 1\n",
      "socialism fear 1\n",
      "socialist anger 1\n",
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      "socialist fear 1\n",
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      "socialist sadness 1\n",
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      "soil negative 1\n",
      "soiled disgust 1\n",
      "soiled negative 1\n",
      "solace positive 1\n",
      "soldier anger 1\n",
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      "soldier sadness 1\n",
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      "solidarity trust 1\n",
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      "solidity trust 1\n",
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      "somatic surprise 1\n",
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      "sonata positive 1\n",
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      "soot negative 1\n",
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      "soothing joy 1\n",
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      "sorely sadness 1\n",
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      "soreness sadness 1\n",
      "sorrow fear 1\n",
      "sorrow negative 1\n",
      "sorrow sadness 1\n",
      "sorrowful negative 1\n",
      "sorrowful sadness 1\n",
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      "sortie negative 1\n",
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      "soulmate negative 1\n",
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      "spectacle negative 1\n",
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      "speculative anticipation 1\n",
      "speech positive 1\n",
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      "spice positive 1\n",
      "spider disgust 1\n",
      "spider fear 1\n",
      "spike fear 1\n",
      "spine anger 1\n",
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      "spirits anticipation 1\n",
      "spirits joy 1\n",
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      "spoiler sadness 1\n",
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      "sponge negative 1\n",
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      "spotless trust 1\n",
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      "sprain negative 1\n",
      "sprain sadness 1\n",
      "spree negative 1\n",
      "sprite fear 1\n",
      "sprite negative 1\n",
      "spruce positive 1\n",
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      "spurious disgust 1\n",
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      "squall sadness 1\n",
      "squatter negative 1\n",
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      "stab fear 1\n",
      "stab negative 1\n",
      "stab sadness 1\n",
      "stab surprise 1\n",
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      "stable trust 1\n",
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      "stagnant negative 1\n",
      "stagnant sadness 1\n",
      "stain disgust 1\n",
      "stain negative 1\n",
      "stainless positive 1\n",
      "stale negative 1\n",
      "stalemate anger 1\n",
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      "stallion positive 1\n",
      "stalwart positive 1\n",
      "stamina positive 1\n",
      "stamina trust 1\n",
      "standing positive 1\n",
      "standoff anger 1\n",
      "standoff fear 1\n",
      "standoff negative 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "standstill anger 1\n",
      "standstill negative 1\n",
      "star anticipation 1\n",
      "star joy 1\n",
      "star positive 1\n",
      "star trust 1\n",
      "staring negative 1\n",
      "stark negative 1\n",
      "stark trust 1\n",
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      "starry anticipation 1\n",
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      "startle fear 1\n",
      "startle negative 1\n",
      "startle surprise 1\n",
      "startling surprise 1\n",
      "starvation fear 1\n",
      "starvation negative 1\n",
      "starvation sadness 1\n",
      "starved negative 1\n",
      "starving negative 1\n",
      "stately positive 1\n",
      "statement positive 1\n",
      "statement trust 1\n",
      "stationary negative 1\n",
      "statistical trust 1\n",
      "statue positive 1\n",
      "status positive 1\n",
      "staunch positive 1\n",
      "stave negative 1\n",
      "steadfast positive 1\n",
      "steadfast trust 1\n",
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      "steady trust 1\n",
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      "steal sadness 1\n",
      "stealing disgust 1\n",
      "stealing fear 1\n",
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      "stealthily surprise 1\n",
      "stealthy anticipation 1\n",
      "stealthy fear 1\n",
      "stealthy negative 1\n",
      "stealthy surprise 1\n",
      "stellar positive 1\n",
      "stereotype negative 1\n",
      "stereotyped negative 1\n",
      "sterile negative 1\n",
      "sterile sadness 1\n",
      "sterility negative 1\n",
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      "stolen negative 1\n",
      "stomach disgust 1\n",
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      "stoned negative 1\n",
      "stools disgust 1\n",
      "stools negative 1\n",
      "stoppage negative 1\n",
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      "stupidity negative 1\n",
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      "wildfire sadness 1\n",
      "wildfire surprise 1\n",
      "willful anger 1\n",
      "willful negative 1\n",
      "willful sadness 1\n",
      "willingly positive 1\n",
      "willingness positive 1\n",
      "wimp disgust 1\n",
      "wimp fear 1\n",
      "wimp negative 1\n",
      "wimpy anger 1\n",
      "wimpy disgust 1\n",
      "wimpy fear 1\n",
      "wimpy negative 1\n",
      "wimpy sadness 1\n",
      "wince anger 1\n",
      "wince disgust 1\n",
      "wince fear 1\n",
      "wince negative 1\n",
      "wince sadness 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "windfall positive 1\n",
      "winner anticipation 1\n",
      "winner joy 1\n",
      "winner positive 1\n",
      "winner surprise 1\n",
      "winning anticipation 1\n",
      "winning disgust 1\n",
      "winning joy 1\n",
      "winning positive 1\n",
      "winning sadness 1\n",
      "winning surprise 1\n",
      "winning trust 1\n",
      "winnings anticipation 1\n",
      "winnings joy 1\n",
      "winnings positive 1\n",
      "wireless anger 1\n",
      "wireless anticipation 1\n",
      "wireless positive 1\n",
      "wireless surprise 1\n",
      "wis positive 1\n",
      "wisdom positive 1\n",
      "wisdom trust 1\n",
      "wise positive 1\n",
      "wishful anticipation 1\n",
      "wit positive 1\n",
      "witch anger 1\n",
      "witch disgust 1\n",
      "witch fear 1\n",
      "witch negative 1\n",
      "witchcraft anger 1\n",
      "witchcraft fear 1\n",
      "witchcraft negative 1\n",
      "witchcraft sadness 1\n",
      "withdraw negative 1\n",
      "withdraw sadness 1\n",
      "wither negative 1\n",
      "wither sadness 1\n",
      "withered disgust 1\n",
      "withered negative 1\n",
      "withstand anticipation 1\n",
      "withstand fear 1\n",
      "withstand positive 1\n",
      "witness trust 1\n",
      "wits positive 1\n",
      "witty joy 1\n",
      "witty positive 1\n",
      "wizard anticipation 1\n",
      "wizard positive 1\n",
      "wizard surprise 1\n",
      "woe disgust 1\n",
      "woe fear 1\n",
      "woe negative 1\n",
      "woe sadness 1\n",
      "woeful negative 1\n",
      "woeful sadness 1\n",
      "woefully disgust 1\n",
      "woefully negative 1\n",
      "woefully sadness 1\n",
      "womb positive 1\n",
      "wonderful joy 1\n",
      "wonderful positive 1\n",
      "wonderful surprise 1\n",
      "wonderful trust 1\n",
      "wonderfully joy 1\n",
      "wonderfully positive 1\n",
      "wonderfully surprise 1\n",
      "wondrous positive 1\n",
      "wont anticipation 1\n",
      "wop anger 1\n",
      "word positive 1\n",
      "word trust 1\n",
      "words anger 1\n",
      "words negative 1\n",
      "working positive 1\n",
      "worm anticipation 1\n",
      "worm negative 1\n",
      "worm surprise 1\n",
      "worn negative 1\n",
      "worn sadness 1\n",
      "worried negative 1\n",
      "worried sadness 1\n",
      "worry anticipation 1\n",
      "worry fear 1\n",
      "worry negative 1\n",
      "worry sadness 1\n",
      "worrying anticipation 1\n",
      "worrying fear 1\n",
      "worrying negative 1\n",
      "worrying sadness 1\n",
      "worse fear 1\n",
      "worse negative 1\n",
      "worse sadness 1\n",
      "worsening disgust 1\n",
      "worsening negative 1\n",
      "worsening sadness 1\n",
      "worship anticipation 1\n",
      "worship fear 1\n",
      "worship joy 1\n",
      "worship positive 1\n",
      "worship trust 1\n",
      "worth positive 1\n",
      "worthless anger 1\n",
      "worthless disgust 1\n",
      "worthless negative 1\n",
      "worthless sadness 1\n",
      "worthy positive 1\n",
      "worthy trust 1\n",
      "wot positive 1\n",
      "wot trust 1\n",
      "wound anger 1\n",
      "wound fear 1\n",
      "wound negative 1\n",
      "wound sadness 1\n",
      "wrangling anger 1\n",
      "wrangling disgust 1\n",
      "wrangling fear 1\n",
      "wrangling negative 1\n",
      "wrangling sadness 1\n",
      "wrath anger 1\n",
      "wrath fear 1\n",
      "wrath negative 1\n",
      "wreak anger 1\n",
      "wreak negative 1\n",
      "wreck anger 1\n",
      "wreck disgust 1\n",
      "wreck fear 1\n",
      "wreck negative 1\n",
      "wreck sadness 1\n",
      "wreck surprise 1\n",
      "wrecked anger 1\n",
      "wrecked fear 1\n",
      "wrecked negative 1\n",
      "wrecked sadness 1\n",
      "wrench negative 1\n",
      "wrestling negative 1\n",
      "wretch anger 1\n",
      "wretch disgust 1\n",
      "wretch negative 1\n",
      "wretch sadness 1\n",
      "wretched disgust 1\n",
      "wretched negative 1\n",
      "wretched sadness 1\n",
      "wring anger 1\n",
      "wrinkled sadness 1\n",
      "writer positive 1\n",
      "wrong negative 1\n",
      "wrongdoing anger 1\n",
      "wrongdoing disgust 1\n",
      "wrongdoing negative 1\n",
      "wrongdoing sadness 1\n",
      "wrongful anger 1\n",
      "wrongful disgust 1\n",
      "wrongful negative 1\n",
      "wrongful sadness 1\n",
      "wrongly anger 1\n",
      "wrongly fear 1\n",
      "wrongly negative 1\n",
      "wrongly sadness 1\n",
      "wrought negative 1\n",
      "wry negative 1\n",
      "xenophobia fear 1\n",
      "xenophobia negative 1\n",
      "yawn negative 1\n",
      "yawning negative 1\n",
      "yearning anticipation 1\n",
      "yearning joy 1\n",
      "yearning negative 1\n",
      "yearning positive 1\n",
      "yearning trust 1\n",
      "yell anger 1\n",
      "yell fear 1\n",
      "yell negative 1\n",
      "yell surprise 1\n",
      "yellows negative 1\n",
      "yelp anger 1\n",
      "yelp fear 1\n",
      "yelp negative 1\n",
      "yelp surprise 1\n",
      "young anticipation 1\n",
      "young joy 1\n",
      "young positive 1\n",
      "young surprise 1\n",
      "younger positive 1\n",
      "youth anger 1\n",
      "youth anticipation 1\n",
      "youth fear 1\n",
      "youth joy 1\n",
      "youth positive 1\n",
      "youth surprise 1\n",
      "zany surprise 1\n",
      "zeal anticipation 1\n",
      "zeal joy 1\n",
      "zeal positive 1\n",
      "zeal surprise 1\n",
      "zeal trust 1\n",
      "zealous joy 1\n",
      "zealous positive 1\n",
      "zealous trust 1\n",
      "zest anticipation 1\n",
      "zest joy 1\n",
      "zest positive 1\n",
      "zest trust 1\n",
      "zip negative 1\n"
     ]
    }
   ],
   "source": [
    "with open('NRC-Sentiment-Emotion-Lexicons/Lexicons/NRC-Emotion-Lexicon-v0.92/NRC-Emotion-Lexicon-Wordlevel-v0.92.txt') as f:\n",
    "    for line in f:\n",
    "        if line.strip():\n",
    "            word, sentiment, valence = line.split()\n",
    "            if int(valence) == 1:\n",
    "                sentiments.update_one({'word': word}, {'$push': {'sentiments': sentiment}}, upsert=True)\n",
    "                print(word, sentiment, valence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'_id': ObjectId('5a2550494b2473fe6d82f1bc'),\n",
       " 'sentiments': ['fear', 'negative', 'sadness', 'surprise'],\n",
       " 'word': 'abduction'}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentiments.find_one({'word': 'abduction'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'word_1'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentiments.create_index('word')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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