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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 315-318

Research on Recognition of Chinese Emotional Words

Zhengjun Liu, Shibin Xiao, Xueqiang Lv, and Shuicai Shi

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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.

Index Terms

word tendency dictionary; Semantic similarity; How-Net; polarity

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