A Systematic Review on Opinion Mining and Sentiment Analysis

Abstract

ABSTRACT
Online reviews have become an important consideration as purchasing and business decisions are made by individuals. For service providers, customer ratings and reviews are very critical. Sellers who deal products on the web also ask or collect consumer feedback of the products they have purchased. As e-commerce is rising and becoming popular day by day, the number of product reviews received by consumers is increasing rapidly. The ratings can go up to thousands for a famous product. The growing popularity of online reviews is also stimulating the fake review writing industry. E-commerce companies and manufacturers may gain consumer opinion by mining customer feedback to enhance service and merchandise. There are several views on a product on the internet, so it can be difficult to make decisions. To classify the reviews according to their polarity, opinion mining is then used. Opinion mining is a mechanism of the review’s mining opinion. For any person, reviewing consumer review is more relevant in making the right buying product and organization decision. Opinion mining is often referred to as evaluating thoughts. In this paper we survey on Opinion mining with respect to their different levels, need of opinion mining, applications, challenges and future directions.
Keywords: Data mining, opinion mining, data base, policy making, sentiment analysis, decision making