Textual opinion summarization based on Cluster_HITS model
Yancui Li1, Hongyu Feng2, Wenhe Feng2
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 570-576
1 Department of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China
2 Henan Institute of Science and Technology, Xinxiang 453003, Henan, China
Textual Opinion summarization aims to concentrate and refine the text data so as to generate a summary of the text regarding the expressed opinion. We collect and annotate an English multi-document corpus on product reviews, which provides a basic resource for the research on textual opinion summarization. Specifically, we incorporate the opinion and helpful information into the Cluster_HITS model to consider the impacts of them. Experimental results show that the proposed method apparently outperforms baseline in terms of ROUGE measurement.