TITLE

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

AUTHOR(S)
Talele, Dipali V.; Badgujar, C. D.
PUB. DATE
November 2012
SOURCE
Asian Journal of Computer Science & Information Technology;Nov2012, Vol. 2 Issue 11, p302
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
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.
ACCESSION #
88033072

 

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