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The Scientific World Journal
Volume 2013 (2013), Article ID 394758, 5 pages
http://dx.doi.org/10.1155/2013/394758
Research Article

Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews

1University of Computer Studies, Mandalay, Myanmar
2Machine and Research Department, University of Computer Studies, Mandalay, Myanmar

Received 26 August 2013; Accepted 30 September 2013

Academic Editors: A. I. Ban, P. Miranda, and X.-P. Wang

Copyright © 2013 Su Su Htay and Khin Thidar Lynn. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Due to the development of e-commerce and web technology, most of online Merchant sites are able to write comments about purchasing products for customer. Customer reviews expressed opinion about products or services which are collectively referred to as customer feedback data. Opinion extraction about products from customer reviews is becoming an interesting area of research and it is motivated to develop an automatic opinion mining application for users. Therefore, efficient method and techniques are needed to extract opinions from reviews. In this paper, we proposed a novel idea to find opinion words or phrases for each feature from customer reviews in an efficient way. Our focus in this paper is to get the patterns of opinion words/phrases about the feature of product from the review text through adjective, adverb, verb, and noun. The extracted features and opinions are useful for generating a meaningful summary that can provide significant informative resource to help the user as well as merchants to track the most suitable choice of product.