Machine Learning Based Sentiment Analysis of Twitter Data

Abstract

During this project, we intend to determine and categorize opinions from tweets and additionally confirm which ML classifier is best for the classification method. Social media provides a chance for businesses by giving a platform to connect with their customers for advertising.Micro-blogging platforms for example Twitter are widely being used for several years as of now.Through implementation of sentiment analysis, positive, negative and neutral are the categories into which tweets are classified. A comparison of machine learning classification algorithms like Naive Bayes, SVM, RF and KNN is enforced.