twitter-sentiment: Twitter library to explore sentiments behind tweets¶
Release v0.0.1
twitter-sentiment is a light-weight Python 3 library that allows you to evaluate the sentiment of tweets. Behind the scene, twitter-sentiment classify tweets as either positive (1) or negative (0) and returns a ratio of positive tweets.
The library also includes features to get structured tweets, users, and user mentions to build and develop insights regarding users and their tweets.
import twitterSentiment
connection = twitterSentiment.API()
search = connection.querySearch("Los Angeles", count=1, result_type='recent', lang='en')
data = twitterSentiment.StructureStatusesData(search)
sentiment = twitterSentiment.SentimentScore(data.getTweet())
print(sentiment.getSentimentClassification())
>> 0.6666
Features¶
- Connect to the Twitter API in a matter of seconds
- Get ratio of positive tweets amongst the ones analyzed (ranges from 0 to 1)
- Get raw tweet response
- Get structured tweets, users, and user mentions data to leverage insights
Install it now¶
pip install twitter-sentiment