Analysis of Sentiments for Sports data using RapidMiner

Abstract

Sentiment analysis basically consist of determining and categorizing opinions expressed on the basis of computational text. It helps us to determine user’s attitude towards a specific topic on the basis of positive, neutral and negative. Social media acts as one of the biggest platforms where people express their feelings on variety of issues by writing on websites, blogs, public forums or online groups. Sports nowadays have also become one of the major topics that people discuss on social media. People’s opinions are basically positive, neutral or negative, so only looking at each opinion and coming to a result is very difficult and time consuming. In this research paper, an overall process of feature based sentiment analysis is showcased and opinions of people are analyzed regarding cricket matches using RapidMiner.