DocumentCode
2336616
Title
A new text dimension reduction method based on PA and LSI
Author
Wang, Ming-chun ; Xu, Jian-Suo ; Wang, Zheng-Ou
Author_Institution
Inst. of Syst. Eng., Tianjin Univ., China
Volume
3
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
1419
Abstract
This paper presents a new dimension reduction method based on pattern aggregation theory and latent semantic indexing theory. Our method firstly reduces text dimension with PA method that not only uses class label but also reduces quantities of calculation in the next step, and then makes the dimension much lower by LSI method. Experiments demonstrate the effects of the method.
Keywords
indexing; information retrieval; pattern classification; text analysis; information retrieval; latent semantic indexing theory; pattern aggregation theory; pattern classification; text dimension reduction method; Algebra; Indexing; Information retrieval; Large scale integration; Matrix decomposition; Statistics; Systems engineering and theory; Text categorization; Text mining; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1381996
Filename
1381996
Link To Document