A Review on Sentiment Analysis

Abstract

As we can see that the increasing rate of people on social media. People are more active on different social media platform so, social media become huge or big platform where people share, their view, opinion, etc. Using this platform we can help customer to make their decision. Customer in regular life face problem on marketing choice so, on bases of review, comment, like and dislike they can make their choice. This choice made by sentiment analysis. Sentiment analysis is nothing but the proper determination of context by classifying each word and decides whether it is positive, negative or neutral. Machine learning play important role as dictionary of preclassified state of word and test on analysing statements. Now a day’s people express their feeling about any entity on different resources, it may be facebook, twitter by commenting and giving review as result, opinion mining has gained importance. In this generation where people are purchasing product in basis of another customer review, so by analysing this review is it positive or negative or it may be neutral. Sentiment analyser depend on subject, As a result, we cannot find which is best. In this paper we study the opinion mining and sentiment analysis and its different methods.