Extracting Patterns for Feature-based Opinion Words from Customer Reviews

Abstract

Most of online Merchants sites allow customers to write comments about particular product that they have purchased. Customer reviews express opinion about products or service which are collectively referred to as customer feedback data. Opinion extraction about products from customer reviews is becoming an interesting area of research. 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 merchants to track the most suitable choice of product.