An Improved Method to Building a Score Lexicon for Chinese Sentiment Analysis

摘要：

　　This paper presents an improved method to automatically generate and score a new sentiment lexicon for Chinese sentiment analysis.Node represents word and weighed edge stands for the relationship between two words in a weight graph.The polarity detection is achieved through the label propagation in this weight graph.Moreover,the lexicon is expanded through some direct relations between the words in a thesaurus.The experimental results demonstrate that the proposed algorithm can not only effectively improve the accuracy of the approach for constructing a sentiment lexicon,but also obtain relatively accurate scores.Meanwhile,the lexicon also guarantees the wide domain coverage.

关键词： sentiment analysis score lexicon propagation Chinese

作者: Haiping Zhang Zhenzhi Yu Ming Xu Yueling Shi

作者单位: Hangzhou Dianzi University, Hangzhou, China, 310018

会议类型: 国际会议

会议名称: 第8届语义知识与网络国际会议(2012 Eighth International Conference on Semanties,Knowledge and Grids )(SKG2012)

会议地点: 北京

会议语种:英文

页码: 241-244

在线出版日期: 2012-10-22（万方平台首次上网日期，不代表论文的发表时间）