This study focuses on the summarization of hotel comments. In early work of summarization, the document we analyze is single-document. Therefore, we do not need to pay attention to neither conflict opinion nor the time the document posted. However, with the advance of science and technology and the flourishing of online forums, more and more people write their own opinions and experiences and post them by internet. Every day there are tens of thousands of new comments on these websites. If we summarize these comments by early work of summarization, they may cause the problems of conflict opinion and the differences in time and author. Therefore, this study proposes a new method of summarization for this type of documents and uses the most K informative sentences as a summarization. We have four main considerations and they include the credibility of each author, the influence of difference in time, the helpfulness of comment and the analysis of conflict opinion. This study adopts hotels’ reviews on Tripadvisor as our dataset and asks twenty subjects comparing sentences which are chosen by three different methods and sorting the method by effect. The three method respectively are only considering the external features of sentences (A), only considering the analysis of context (B) as well as we propose method (C). If the result of experiment shows that C method is better than A and B method, it can prove that it is necessary to take into account the difference in authors and time and the method we proposed is feasible and effective.
