Sentiment Analysis Techniques for Social Media Data: A Review

The world is going to digitize day by day. A lot of data generated by the social website users that play an essential role in decision-making . It is impossible to read the whole text, so sentiment analysis make it easy by providing the polarity to the text and classify text into positive and negative classes. Classification task can be performed by using different algorithms results in a different level of accuracy. The purpose of the survey is to provide an overview of various methods that deal with sentiment analysis. The review also presented a comparative analysis of various sentimental analysis techniques with their performance measurement.