ABSTRACT
With the flourish of the Web, online review is becoming a more and more useful and important information resource for people. As a result, automatic review mining and sum- marizing has become a hot research topic recently. Differ- ent from traditional text summarization, review mining and summarizing aims at extracting the features on which the re- viewers express their opinions and determining whether the opinions are positive or negative. In this paper, we focus on a specific domain – movie review. A multi-knowledge based approach is proposed, which integrates WordNet, statisti- cal analysis and movie knowledge. The experimental results show the effectiveness of the proposed approach in movie review mining and summarizing.