A Review: Sentiment Analysis and Opinion Mining

Abstract

The rapid growth in social media along its users has given rise to the need of Sentiment analysis also called Opinion mining or emotion abstraction, whose goal is to extract, determine, analyze and present the sentiments of the user and drawing a conclusion about the overall information they contain in less cost and efficient time complexity. Opinions or sentiments in the form of a forum, comment, review sites, blogs, etc. can be about the product, people, services, events, politics, etc. The aim is to calculate the polarity of the data and classify it as positive, negative, or neutral. This paper presents a review of techniques and methods in sentiment analysis with their challenges.

Keywords: Bayesian Algorithm, Feature Extraction, Machine learning, Opinion, Sentiment Analysis, Sentiment Classification, SVM, Twitter