An Overview of the Literature on Sentiment Analysis Methods for Online and Social Media Platforms

The rapid rise in popularity of social media sites and blogs, has prompted reviews and comments on daily activities. Sentiment analysis is the process of gathering and analysing opinions, thoughts, and impressions about subjects, goods, and services. SA produces accurate predictions in business and politics. Millions of bytes of data are uploaded and exchanged by people on product review sites, blogs, social networking sites and other online forums within the Internet realm that penetrates nearly every human being on our globe. Despite the numerous approaches for SA which is proposed, there is still a scope for effective methods which can reliably extract and produce correct sentiment analysis. Although there has been significant advancements made with ML techniques like SVM and Naïve Bayes, Maximum Entropy is the most notable method. This paper aims to contribute a comprehensive assessment report that can serve as a foundation for future research by surveying SA approaches and methodology.