A dynamic adjustment algorithm research of sentiment word weight based on context

摘要：

The emotion tendency of sentiment word is divided into two types: static emotion tendency and dynamic emotion tendency. Basic semantic lexicon is static emotion tendency, in the real context, but it is different between static emotion tendency and dynamic emotion tendency. The paper proposes a method based on degree lexicon, negative lexicon and dependence relationship of sentence elements. The experimental results show dynamic emotion tendency even more reflects text emotion tendency and get best performance in text sentiment classification.

关键词： dynamic emotion tendency static emotion tendency dynamic adjustment algorithm of sentiment word weight sentiment classification

作者: XU Ye-qiang ZHU Yan-hui Wang Wen-hua GAO Li-chun

作者单位: Institute of Computer and Communication Hunan University of Technology Zhuzhou,China College of Engineering South China Agricultural University Guangzhou,China

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: 19-22

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）