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Title:
research of chinese text classification methods based on semantic vector and semantic similarity
Author: Song Xin ; Huang Jia ; Zhou Jing-Min ; Chen Xi
Source: IFCSTA 2009 Proceedings - 2009 International Forum on Computer Science-Technology and Applications
Conference Name: 2009 International Forum on Computer Science-Technology and Applications, IFCSTA 2009
Conference Date: 40879
Issued Date: 2009
Conference Place: Chongqing, China
Keyword: Computer science ; Information retrieval systems ; Knowledge representation ; Semantics ; Vector spaces ; Vectors
Publish Place: United States
Indexed Type: ei
ISBN: 9780769539300
Department: (1) State Key Laboratory of Software Development Environment, Beihang University, 100191, Beijing, China; (2) Institute of Software Chinese Academy of Sciences, 100190, Beijing, China
Sponsorship: IITAA - International Information Technology; and Applications Association
English Abstract: To overcome the limitations of traditional text classification approaches based on bag-of-words representation and to effectively incorporate linguistic knowledge and conceptual index into text vector space model, based on two thesaurus HowNet and Tongyici Cilin(hereinafter referred to Cilin), we use semantic vector to describe a document instead of traditional keywords vector, which is based on merging words with high similarity and using a concept to describe the semantic feature rather than a series of words. It not only reduces feature dimension but also adds semantic information to the vector. We also use sentence (document) similarity based on simple vector distance to classify the text and three groups of experiments are made respectively. The results show that the accuracy rates are generally improved along with semantic treatment, which indicates that semantic mining is very important and necessary to text classification. © 2009 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/8434
Appears in Collections:中科院软件所图书馆_2009年期刊/会议论文

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Recommended Citation:
Song Xin,Huang Jia,Zhou Jing-Min,et al. research of chinese text classification methods based on semantic vector and semantic similarity[C]. 见:2009 International Forum on Computer Science-Technology and Applications, IFCSTA 2009. Chongqing, China. 40879.
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