Low-Quality Product Review Detection in Opinion Summarization 论文

摘要

Product reviews posted at online shopping sites vary greatly in quality. This paper ad-dresses the problem of detecting low-quality product reviews. Three types of bi-ases in the existing evaluation standard of product reviews are discovered. To assess the quality of product reviews, a set of spe-cifications for judging the quality of re-views is first defined. A classification-based approach is proposed to detect the low-quality reviews. We apply the pro-posed approach to enhance opinion sum-marization in a two-stage framework. Ex-perimental results show that the proposed approach effectively (1) discriminates low-quality reviews from high-quality ones and (2) enhances the task of opinion summari-zation by detecting and filtering low-quality reviews. 1