--- /dev/null
+{
+ "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",
+ "text": [
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+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ ]
+ },
+ {
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+ "text": [
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+ "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": []
+ }
+ ],
+ "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": "3.5.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
projects / battle-of-the-bands.git / blobdiff