Sentiment Analysis of Election Result Prediction using Twitter Data By NLP and ML

Sentiments posted on PM Narendra Modi and Rahul Gandhi regarding Indian Lok Sabha election are analyzed by Natural Language processing (NLP) and Machine Learning (ML). Data is cleaned by removing the punctuation mark and using NLP. Valence Aware Dictionary for Sentiment Reasoning (VADER) sentiment analysis is performed on the processed tweets. Subsequently, Flair sentiment analysis is done which allows the user to apply state of art NLP. Polarity of the tweets are visualized followed by preprocessing, sentiment calculation using TextBlob. Polarity change of tweets mentioning Narendra Modi and Rahul Gandhi are represented graphically and results are shown.