jmhossler/twitter-mood

twitter-mood

twitter-mood is a python tool meant to simplify sentiment analysis of twitter queries.

Description

Using textblob and python-twitter, twitter-mood aggregates sentiment analysis of tweets from twitter matching a specific query.

Requirements

Other python requirements will be installed automatically with a pip install. Outside of that, the system requirements are very simple: >python v3.4

Installation

twitter-mood is on pypi! You can install twitter-mood with a simple pip command:

pip install twitter-mood

Usage

Intialize Mood Gatherer

from twitter_mood import TwitterMoodGatherer
import twitter

consumer_key='consumer_key'
consumer_secret='consumer_secret'
access_token_key='access_token'
access_token_secret='access_token_secret'


twitter_api = twitter.Api(consumer_secret=consumer_secret,
                          api_token_key=api_token_key,
                          api_token_secret=api_token_secret,
                          consumer_key=consumer_key)

twitter_mood_tool = TwitterMoodGatherer(twitter_api, query)

Retrieve 100 tweets matching query and get average sentiment

twitter_mood_tool.gather_tweets()

mood = twitter_mood_tool.get_mood()  # return Sentiment Aggregate
polartiy = mood.polarity
subjectivity = mood.subjectivity

Get individual analysis of tweets

twitter_mood_tool.gather_tweets()

moods = twitter_mood_tool.get_moods()

for mood in moods:
  subjectivity = mood.sentiment.subjectivity
  polarity = mood.sentiment.polarity
  created_at = mood.created_at
  tweet_url = mood.url

Get mood analysis of stream of tweets

twitter_mood_tool.gather_tweet_stream()

for mood in twitter_mood_tool.get_mood_stream():
  subjectivity = mood.sentiment.subjectivity
  polarity = mood.sentiment.polarity
  created_at = mood.created_at
  tweet_url = mood.url

Development

Testing

pip install pytest
pip install pytest-cov
pip install -r requirements.txt
pip install .
pytest tests

Note

This project has been set up using PyScaffold 3.0.1. For details and usage information on PyScaffold see http://pyscaffold.org/.