Key Issues on Feature-based Opinion Mining Study

摘要：

The Internet contains vast amounts of subjective information.Feature-based opinion mining uses natural language processing, information extraction and data mining techniques to identify and analyze subjective information on the features of the object as well as the emotional tendencies.In this paper, we mainly introduce the basic concepts of featurebased opinion mining.Also the research ideas and techniques to be used are introduced.Then we describe the key issues of feature-based sentiment analysis and opinion mining.These key issues include: feature extraction, the calculation of features weight, opinion words extraction, opinion holder extraction and sentiment classification, sentiment comparative sentences and negative sentences sentence processing, adverbs processing as well as Corpus construction.

关键词： Sentiment Analysis Opinion Mining feature Emotional Tendency Corpus

作者: Li Gang Wu Qiong

作者单位: Information Management School.Wuhan University,.P.R.China

会议类型: 国际会议

会议名称: International Conference on Technological Innovation and Competitive Technical Intelligence 2010 技术创新与技术竞争情报国际会议(2010)

会议地点: 北京

会议语种:英文

页码: 143-151

在线出版日期: 2010-12-03（万方平台首次上网日期，不代表论文的发表时间）