A SURVEY ON SENTIMENT ANALYSIS AND OPINION MINING

Abstract

Sentiment analysis is a machine learning approach in which machines analyze and classify the human's sentiments, emotions, opinions etc about some topic which are expressed in the form of either text or speech. The textual data available in the web is increasing day by day. In order to enhance the sales of a product and to improve the customer satisfaction, most of the on-line shopping sites provide the opportunity to customers to write reviews about products. These reviews are large in number and to mine the overall sentiment or opinion polarity from all of them, sentiment analysis can be used. Manual analysis of such large number of reviews is practically impossible. Therefore automated approach of a machine has significant role in solving this hard problem. The major challenge of the area of Sentiment analysis and Opinion mining lies in identifying the emotions expressed in these texts. This literature survey is done to study the sentiment analysis problem in-depth and to familiarize with other works done on the subject.