Main Article Content
Abstract
The currently living period is a digital era where social media and technology has enabled almost everyone to openly share their views, thoughts or opinions. These views or thoughts in the form of posts, comments, general product review or blogs can play a powerful role in efficacy of the product, business or society trends. Here, analyzing the sentiments of such textual data has become very critical. Various factors such all types human emotions, lexical resource, topic and opinion play important roles in identifying the sentiment of a sentence. This paper discusses the challenges faced while performing efficient sentiment analysis. Here the growth in the study of the sentiment analysis is discussed along with the different approaches used. It also shows light on how Big Data and Machine Learning has played role in analyzing the sentiments of the such data.