Authors:-Rohini Kancharapu , Dr. A. Sri NageshÂ
Abstract:-Sentiment Analysis (SA) extracts and analyses people’s opinion about an entity. SA in twitter tackles the problem of analyzing the tweets. Twitter is one of the popular micro blogging platform in which users can publish their thoughts and opinions. It has been used as a forum to understand the opinions of public towards recently launched Goods and Services Tax (GST) by Indian Government. The tweets originated have been analyzed using supervised learning. This type of learning uses unlabelled data to complement the information provided by the labeled data in the training process. SA agrees with the human judgment and determines at sentence level whether the opinions arrives at a decision and perform classification on emotion and polarity using naive bayes and score based algorithms to find the effect of GST on public.
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