Sentiment Analysis: Literature Review and Preparatory Research of Language Models for Opinion Mining

Abstract

This research paper analyzes sentiment analysis on social media, particularly Twitter. This paper reviews various implementation methods, advantages, and drawbacks of different approaches. Society around us is living in an era of Information technology. Users produce lots of raw data that refines as information converting it to a data set. The hardest part of sentiment analysis is to analyze the given data according to the context and the situation. As results cannot be 100 percent accurate, the solution is to try reducing the problems caused to attain higher accuracy and precision.