A Comparative Study of Sentiments Analysis Using Rule Based and Support Vector Machine

Abstract: Sentiment analysis (SA) in Natural language processing deals with sentiment and subjectivity in text. It has many names like subjectivity analysis, opinion mining, and appraisal extraction. In order to get information what other people thinks whether they have positive or negative opinion about a particular subject. For online reviews, like about any movie there will be favorable as well as unfavorable opinions and sentiment analysis is used to get information about the movie if it’s good or not. This paper compares the various techniques used for sentiments analysis. The sentiment analysis for English product reviews has been achieved. For Chinese product reviews, feature-level based sentiment analysis is used.

Keywords: sentiments analysis, rule base, support vector machines, various techniques used.