Classifying and rationalizing twitter sentiment through classification algorithms

Abstract

Sentiment analysis refers to a classification problem where the main focus is to analyze the sentiment statements which are transferred through the twitter social media. This analysis procedure gives various points of statements from each twit in social media. The huge number of different case of opinions is obtained from the twitter statement and these different opinions are analyzed for predicting the nature of the twit in social media. For a decade, number of different machine learning approaches is used for analyzing and predicting the nature of the twit statements in social media. This paper narrates various conventional twitter sentiment analysis methods with its types.