Efficiently Identifying Semantic Orientation Algorithm for Chinese Words

摘要：

In this paper, two methods for effective semantic orientation identification algorithm are proposed, which are based on HowNet. Some criteria for computing the orientation similarity between given word and benchmark words set are compared and a k-NN classification for determining semantic orientation for given word is proposed. Comprehensive experiments are conducted and the result show the k-NN method can effectively identify common words semantic orientation and accuracy rate has greatly been improved arriving at 96.5％.

关键词： opinion mining semantic orientation k-NN classification

作者: Zhongming Han Qian Mo Min Zuo Dagao Duan

作者单位: School of computer science and information engineering, Beijing Technology and Business University, Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 260-264

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）