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Sentiment Analysis is the process of figuring out the emotions from a piece of writing that whether it is positive, negative or neutral and is used to tell the speaker's attitude. The trend, today, is to consider the opinions of a variety of individuals around the globe before purchasing an item using micro-blogging data. Customers tend to go over a lot of reviews about a particular item before buying it. Sentiment Analysis makes this task easy for the customers. Sentiment Analysis aims to achieve its function in the simplest manner with the help of an existing approach and an existing algorithm. This paper focuses on the various Sentiment Analysis algorithms available in the existing literature. Further, this paper presents the comparative study of different Sentiment Analysis algorithms on the basis of accuracy.
Sinha et al. (Tue,) studied this question.