A STUDY ON THE REVIEW ANALYSIS FOR THE AUTOMATIC EVALUATION OF THE PRODUCT
Zhuoran Sun, Minoru W. Yoshida, Kazuyuki Matsumoto, Kenji Kita · Institutional Repositories DataBase (IRDB) · 2016
Nowadays, e-business has been never more popular and more convenient. Online merchants have flourished and merchandize have diversified. However, it’s still difficult for users to quickly locate their desired products on online markets. Often times, an online shopper will evaluate ratings and comments from other users to speculate the current product. In particular, the easiest and the most intuitive way is to see the scores to determine the quality of the product. Therefore, if we can automatically identify and analyze all the reviews and accurately and objectively give a score to a particular product, it will be more efficient for users to search merchandize and for online business owners to manage the products they sell.