Sentiment analysis of Indians on GST

Abstract

Twitter has become one of the most popular communication medium among internet users. Millions of users share their opinions on it, therefore making it a rich source of data for opinion mining and sentiment analysis. Taking our context as Goods and Services Tax, which has been one of the most debated topic in media not only in India but also outside India. In this paper, we collected the data from the twitter and tried to infer about the way Indians have understood Goods and Services Tax. We have discussed the methodology to prepare a corpus from Twitter for sentiment analysis and opinion mining. The analysis of the collected corpus is done using a ‘lexicon-based approach’. Using this approach, we can determine the opinion in three major categories; positive, negative and neutral sentiments of the document.