An Empirical Review of Challenges of and Approaches to Sentiment Analysis

Nowadays, data are food for the digital world. The main rich sources of data are generated by social networks such as Twitter, Facebook, Instagram, and LinkedIn. The data generated through microblogging services play a vital role in business intelligence such as product reviews, movie reviews, and election results prediction by social media data analysis. Sentiment Analysis (SA) is the key method of predicting netizens’ emotions behind the text expressed in social media. The main objective of this survey is to shed light on the tools and techniques used in Sentiment Analysis and the relevant fields in brief detail.