Twitter live Sentiment Analysis helps us map the positive and the negative sentiments of tweets in real time. In this video we take the examples of Donald Trump tweets, what people are tweeting about him and plot the sentiment for it.
We have to clean the data using some techniques and encoding.
The same approach can be followed with any live event like elections, a football match and even stock market to track live sentiment and analyse the relation between price raise and fall.
This tutorial uses Tweepy (pip install tweepy), Text Blob , Matplotlib libraries available with the Anaconda Package.
For the code:
Github : https://github.com/shreyans29/thesemicolon
Facebook : https://www.facebook.com/thesemicolon.code/
Support us on Patreon : https://www.patreon.com/thesemicolon
Twitter Developer : https://dev.twitter.com/
Tweepy Documentation : http://docs.tweepy.org/en/v3.5.0/