Research on Recognition of Chinese Emotional Words

摘要：

Recently tendentious analysis of the text attract much research attention in the field of natural language processing, and recognition of emotional word is a very important topic in tendentious analysis of the text. In this paper, the degree of the semantic similarity of words is calculated based on How-Net and the words with tendency are recognized automatically using the 50 couples of basic words, and the character that synonymic words have the same tendency and antonymous words have the contrary tendency. Finally, a factor is multiplied to the degree of similarity. The experiments achieve an improved result.

关键词： word tendency dictionary Semantic similarity How-Net polarity

作者: Zhengjun Liu Shibin Xiao Xueqiang Lv Shuicai Shi

作者单位: Chinese Information Processing Research Center, Beijing Information Science & Technology University, Chinese Information Processing Research Center, Beijing Information Science & Technology University,

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 315-318

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）