Abstract

Tweet sentiment analysis is effective problem now days, because much information comes from tweets by different users and analysis of opinion of product, event, movie etc. In this paper analysis of tweets by it’s features and classes by support vector machine with kernel approach. Our result show proposed preprocessing of text and classifier show significance improve from naïve bays and normal SVM.