Opinion mining and summarization of reviews in web forums

Authors:
Shanmugasundaram Hariharan;Ramachandran Srimathi;Murugan Sivasubramanian;Saranathan Pavithra
Affiliations:
B. S. Abdur Rahman University, Chennai, Tamilnadu, India;B. S. Abdur Rahman University, Chennai, Tamilnadu, India;B. S. Abdur Rahman University, Chennai, Tamilnadu, India;B. S. Abdur Rahman University, Chennai, Tamilnadu, India
Venue:
Proceedings of the Third Annual ACM Bangalore Conference
Year:
2010

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Abstract

The Internet has made life of every individual (web users) very simple and sophisticated. In recent years people use the web for many reasons like personal communication, entertainment, online shopping, general search and so on. Internet forums also act as a medium of exchange for sharing resources and knowledge. Though commercial review websites allow users to express their opinions in whatever way they feel, number of reviews for specific product available is enormous. Hence it becomes difficult for the customers to read all the reviews to make a decision. In this paper we propose an extraction technique to score the reviews and summarize the opinions to end user. Based on opinions mined it is decided as whether to recommend the product to the user or not. This paper mainly focuses on providing a methodology for mining the opinions using generic user focused reviews. The experiments performed were quite promising for the data set used.