DocumentCode
2233021
Title
A statistics based method of mining hierarchical word relation
Author
Xiao, Hu ; Qinyi, Wu ; Yixin, Zhong
Author_Institution
Pattern Recognition & Intelligence Syst. Res. Center, Beijing Univ. of Posts & Telecommun., China
Volume
3
fYear
2001
fDate
2001
Firstpage
152
Abstract
Proposes an approach to extracting topic words at different levels in any specific domain. The method is based on the statistic features of terms in a large amount of text documents: term frequency and inverse document frequency. Preliminary experiments in Chinese have indicated that the words mined out are basically coincident with the objective reality. So, this approach is helpful for utilizing computers to discover the semantic relationships between words
Keywords
knowledge acquisition; knowledge representation; text analysis; hierarchical word relation; information mining; inverse document frequency; knowledge representation; statistics based method; term frequency; text documents; text mining; Concrete; Data mining; Feature extraction; Frequency; Intelligent systems; Knowledge acquisition; Natural language processing; Statistics; Text analysis; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location
Beijing
Print_ISBN
0-7803-7010-4
Type
conf
DOI
10.1109/ICII.2001.983050
Filename
983050
Link To Document