Product Review Information Extraction Based on Adjective Opinion Words
Product review mining can provide effective help for manufacturers, retailers and potential customers. We propose a framework of product review information extraction based on adjective opinion words. Firstly, we extract the web page information with web page template features. Secondly, we manually label seed adjective opinion word set, and expanded it to a set with words coverage reaching 90％. We also identify comparative sentence, word match and negation patterns. Finally, we summarize the product reviews from the various perspectives. In order to demonstrate our methods of the framework, we conduct the experiment with the product reviews of digital camera from www.Epinions.com. The experiment shows that the methods can provide the number of emotion polarity for the products and features.
product review opinion mining information extraction adjective opinion words
Yan Luo Wei Huang
School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China
国际会议
昆明、丽江
英文
1309-1313
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）