Research on Application of Improved Text Cluster Algorithm in intelligent QA system

被引：0
|
作者：
Zhao, Ming [1 ]
Wang, Jianli [2 ]
Fan, Guanjun [1 ]
机构：
[1] Yangtze Univ, Coll Comp Sci, Jinzhou 434023, Hubei, Peoples R China
[2] Kashi Teachers Coll, Kashi 844000, Xinjiang, Peoples R China
来源：
SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/WGEC.2008.49
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With rapid development of Internet information, It is quite an important project for data mining that how to classes these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and eigenvector representation on base of term frequency statistics, thereby it lessens sensitivity of input sequence and frequency, and effectively raises similarity accuracy of small text and simple sentence as well as preciseness and recall rate of text cluster result.
引用
收藏
页码：463 / +
页数：2
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