The Method for a Summarization of Product Reviews Using the User's Opinion

As the number of transactions in E-market places is growing, more and more product information and product reviews are posted on the Internet. Because customers want to purchase good products, product reviews became most important information. But, because of the massive volume of reviews, customers can't read all reviews. In order to solve this problem, a lot of research is being carried out in Opinion Mining. Through the Opinion Mining, we can know about contents of whole product reviews. Traditionally research on Natural Language Processing was applied to the Opinion Mining area in early stage. Recently, the computational statistics are applied to handle massive volume of reviews. in this research, we suggest a method for summarization of product reviews using the user's opinion, feature occurrences, and the rate of review in order to improve the performance of existing methods. With this method, we can handle massive volumes of reviews in a short time efficiently. We guarantee the correctness of the review summary by finding out the semantic meaning of reviews. Besides, we show these advantages through some experiments.