Comparing Classification and Regression Tree and Support Vector Machine for Analyzing Sentiments for IPL 2016

Abstract

Social media is incredibly popular method for expressing opinions and interacting with other people in the online world. Twitter is one of the most frequent online social media and micro blogging services. It enables users to communicate with others and get updates on topics and events that interest them. Tweets can reflect public attitude when taken in aggregation, for example during events such as IPL 2016.Machine learning makes sentiment analysis more effective. In this paper, we examine the evaluation of machine learning algorithms (CART and SVM) in R to find the public opinions about event IPL 2016.