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《Computer Engineering and Applications》 2010-03
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Study on Chinese text classification based on dependency relation

WANG Peng,FAN Xing-hua Institute of Computer Science and Technology,Chongqing University of Post and Telecommunication,Chongqing 400065,China  
Four key issues of classifying Chinese short text using dependency relation are discussed to use dependency relation to classify Chinese short text effectively.This paper extracts the dependency relations between two words in a long-text corpus and two short-text corpuses,and uses these word-pairs to classify texts in order to analyze the role of dependency relation in short text classification.Experiments show that Using dependency relation to classify texts can improve the classification performance;Using dependency relation to classify short texts lonely can not improve the classification performance;dependency relation as means to expand features can increase features and enhance description ability of short text in order to classify short texts effectively.
【Fund】: 国家自然科学基金No.60703010;; 重庆市自然科学基金 No.2006BB2374;; 重庆市教委科学技术研究项目(No.KJ070519);; 教育部回国留学人员启动基金(教外司留[2007]1109号~~
【CateGory Index】: TP391.1
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