Analytical Study of Various Machine Learning Algorithms for Sentiment Analysis of Social Media Data

Abstract

Text Mining has become one of the most important research domains over the last few years, due to the boom in the social media networking, Internet and other internet user-personalized applications. Internet users tend to generate tremendous amounts of data daily, in which most textual data is in unstructured format. Now, text mining has many narrow aspects of research, one of them is Sentiment Analysis. In this paper, we are covering the importance of Sentiment Analysis along with its related work. This paper also aims to cover various datasets, machine learning algorithms and methods available for the analysis including its current challenges and future potential scope of research