An empirical study of feature selection for text categorization based on term weightage

An empirical study of feature selection for text categorization based on term weightage

This paper proposes a local feature selection (FS) measure namely, Categorical Descriptor Term (CTD) for text categorization. It is derived based on classic term weighting scheme, TFIDF. The method explicitly chooses feature set for each category by only selecting set of terms from relevant category...

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Bibliographic Details
Main Authors: Bong, Chih How, Kulathuramaiyer, Narayanan
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2004
Subjects:
AC Collections. Series. Collected works
T Technology (General)
Online Access:http://ir.unimas.my/1190/
http://ir.unimas.my/1190/1/An%2Bemperical%2Bstudy%2Bof%2Bfeature%2Bselection%2Bfor%2BTEXT%2Bcategorization%2Bbased%2Bon%2Bterm%2Bweightage%2B%2528%2Babstract%2529.pdf

Internet

http://ir.unimas.my/1190/
http://ir.unimas.my/1190/1/An%2Bemperical%2Bstudy%2Bof%2Bfeature%2Bselection%2Bfor%2BTEXT%2Bcategorization%2Bbased%2Bon%2Bterm%2Bweightage%2B%2528%2Babstract%2529.pdf

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