Feature-level Sentiment Analysis for Chinese Product Reviews

摘要：

The sentiment analysis for English product reviews has been widely researched in recent years, followed with many important achievements. Due to the special language traits of Chinese, the study on Chinese product reviews is much more difficult than the former. In this work, we focus on the finer-grained sentiment analysis for Chinese product reviews, that is feature-level based sentiment analysis. We propose a hybrid method which combines association rules and point-wise mutual information to extract the product features, and then take advantage of the sentiment dictionary—HowNet to analyze the opinion orientation expressed on the product features. The experiment result obtained shows the effectiveness and efficiency of our approach.

关键词： feature extracting feature-level sentiment analysis Chinese product reviews

作者: Haiping Zhang Zhengang Yu Ming Xu Yueling Shi

作者单位: Dept. of Computer Science Hangzhou Dianzi University Hangzhou, China, 310018

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 135-140

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）