Mechanism for Crawling, Filtering, and Presenting Opinionated Content on Online Products to the Customers

Abstract

There is a large amount of data available on the web in form of opinions, which need to be accessed for mining opinions. This is an ever-growing field that brings together the reviews, blogs, discussions on forums, Twitter, microblogs, and social networks. A user may be looking for opinions on some commodity or product for making decision regarding purchase for which there is the need of a system based on question answering. This gives rise to a question answering (QA) system. This system works on all the aspects of question answering along with the mining of opinions. The chapter discusses all the modules of the question answering system along with how the opinions are mined. The details of implementation along with the performance analysis of the proposed system are given in the chapter. On performance evaluation, a high value of opinion accuracy has been found that shows that the system performs well.