Web User Opinion Analysis for Product Features Extraction and Opinion Summarization

Selling the product through Web has become more popular because of online shopping. This enablesmerchants to sell their products through Web and expects the customer to express their opinion throughonline about the product which they have purchased. Due to this we find number of customer reviews on aparticular product, it varies from hundreds to thousands, for some product it is more than that. In order tohelp the customer and the manufacture/merchant we propose a semantic based approach to mine differentproduct features and to find the opinion summarization about each of these extracted product features bymeans of web user opinion expressed through the customer reviews using typed dependency relations.