Hierarchical text categorization model based on Fuzzy Cognitive Maps

被引：0
|
作者：
Zhang, Weijuan [1 ]
Li, Zhixian [1 ]
Zhang, Guiyun [1 ]
机构：
[1] Tianjin Normal Univ, Comp & Informat Engn Coll, Tianjin, Peoples R China
来源：
2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 2 | 2008年
关键词：
Fuzzy Cognitive Maps(FCMs); text categorization; hierarchical;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Text categorization is an important direction of information processing, and now there are many methods of text categorization, such as Bayesian probabilistic models, Vector Space Model, K-Nearest Neighbor and so on. This paper proposed a Hierarchical model of text categorization based on Fuzzy Cognitive Maps, namely, using Fuzzy Cognitive Maps (FCMs) and the thoughts of decomposition to realize hierarchical text categorization. In that way, it can largely decrease scale and complexity, and increase categorization efficiency.
引用
收藏
页码：611 / 614
页数：4
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