Key points are not available for this paper at this time.
Twitter is a free and most popular social networking service that allows registered and authorised user to transfer their opinion called short messages also known as tweets. Twitter users can broadcast their opinion in the form of tweets and track other users' opinion in the form of tweets from multiple platforms and from any devices. There are lots of user tweets and reviews are available on Twitter. Twitter has become one of the best ways of getting customers' opinions like political tweets, movie ratings and making predictions about the results of Products and location. The Sentiment analysis of the general people's opinion is made in the Twitter data, which can recognize the opinion of people in general about the social event that is published on Twitter. This study presents current scenarios such as product reviews, political tweets, film classifications, etc., which are published on Twitter as an example of sentiment analysis. In this paper we will discuss or describe methodology, pre-processing, feature extraction, different types of classification techniques etc. And also compare different techniques with each other.
Zala et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: