A LITERATURE REVIEW OF OPINION MINING FROM ONLINE CUSTOMER’S FEEDBACK AND IT’S APPLICATION DOMAINS

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Published Oct 13, 2013
Dipali V.Talele*, C. D. Badgujar

Abstract

Customer discussions in Web 2.0 are a valuable source of information for companies. An opinion mining approach is presented which allows an automated extraction, aggregation, and analysis of customer opinions on products from text using Data Mining and Natural Language Processing techniques. The goal of opinion mining is to make computer able to recognize and express emotions. Companies are interested to know about the people demand. They need to collect customer opinion about the products to know about the reputation of the company in the market. These surveys are then need to be summarized or categorized to produce the report about the good or bad aspects of particular products. This paper critically evaluates existing work, presents an opinion mining framework and exposes new areas of research in opinion mining.
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Article Details

Issue
Vol 2 No 11 (2012): Asian Journal of Computer Science and Information Technology
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Articles

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