Sentiment Analysis to Predict Election Results Using Python

Description

Sentiment analysis is an evaluation of the opinion of the speaker, writer or other subject with regard to some topic. In US presidential election 2016, Donald Trump, Hillary Clinton and Bernie Sanders were among the top election candidates.The opinion of the public for a candidate will impact the potential leader of the country. Twitter is used to acquire a large diverse data set representing the current public opinions of the candidates.
We propose the polarity and subjectivity measures for the collected tweets that help in understanding the user opinion for a particular candidate. Further, a comparison is made among the candidates over the type of sentiment.