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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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2004
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/1190/1/An%2Bemperical%2Bstudy%2Bof%2Bfeature%2Bselection%2Bfor%2BTEXT%2Bcategorization%2Bbased%2Bon%2Bterm%2Bweightage%2B%2528%2Babstract%2529.pdf http://ir.unimas.my/id/eprint/1190/ |
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