research of chinese text classification methods based on semantic vector and semantic similarity
文献类型：会议论文
| 作者 | Song Xin ; Huang Jia ; Zhou Jing-Min ; Chen Xi |
| 出版日期 | 2009 |
| 会议名称 | 2009 International Forum on Computer Science-Technology and Applications, IFCSTA 2009 |
| 会议日期 | 40879 |
| 会议地点 | Chongqing, China |
| 关键词 | Computer science Information retrieval systems Knowledge representation Semantics Vector spaces Vectors |
| 页码 | 187-190 |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议主办者 | IITAA - International Information Technology; and Applications Association |
| 会议录 | IFCSTA 2009 Proceedings - 2009 International Forum on Computer Science-Technology and Applications
 |
| 会议录出版地 | United States |
| 语种 | 英语 |
| ISBN号 | 9780769539300 |
| 源URL | [http://124.16.136.157/handle/311060/8434]  |
| 专题 | 软件研究所_软件所图书馆_2009年期刊/会议论文 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：软件研究所
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