Categorical term descriptor: a proposed term weighting scheme for feature selection
This paper proposes a term weighting scheme, categorical term descriptor (CTD), for feature selection in automated text categorization. CTD is an adaptation of the term frequency inverse document frequency (TFIDF). We compared the performance of the proposed method against classical methods such as...
| Main Authors: | , , |
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| Format: | Proceeding |
| Language: | English |
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IEEE
2005
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/1196/ http://ir.unimas.my/id/eprint/1196/1/categorical%2Bterm%2Bdescriptor%2B%2BA%2Bproposed%2Bterm%2Bweighting%2Bscheme%2Bfor%2Bfeature%2Bselection%2528abstract%2529.pdf |
| _version_ | 1848834710189375488 |
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| author | Bong, Chih How Kulathuramaiyer, Narayanan Wong, Ting Kiong |
| author_facet | Bong, Chih How Kulathuramaiyer, Narayanan Wong, Ting Kiong |
| author_sort | Bong, Chih How |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | This paper proposes a term weighting scheme, categorical term descriptor (CTD), for feature selection in automated text categorization. CTD is an adaptation of the term frequency inverse document frequency (TFIDF). We compared the performance of the proposed method against classical methods such as correlation coefficient, chi-square and information gain using the multinomial naive Bayes and the support vector machine (SVKD) classifiers on the Reuters (10) and Reuters (115) variants of Reuters-21578 dataset. |
| first_indexed | 2025-11-15T05:56:18Z |
| format | Proceeding |
| id | unimas-1196 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:56:18Z |
| publishDate | 2005 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-11962015-03-24T00:48:35Z http://ir.unimas.my/id/eprint/1196/ Categorical term descriptor: a proposed term weighting scheme for feature selection Bong, Chih How Kulathuramaiyer, Narayanan Wong, Ting Kiong AC Collections. Series. Collected works T Technology (General) This paper proposes a term weighting scheme, categorical term descriptor (CTD), for feature selection in automated text categorization. CTD is an adaptation of the term frequency inverse document frequency (TFIDF). We compared the performance of the proposed method against classical methods such as correlation coefficient, chi-square and information gain using the multinomial naive Bayes and the support vector machine (SVKD) classifiers on the Reuters (10) and Reuters (115) variants of Reuters-21578 dataset. IEEE 2005 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/1196/1/categorical%2Bterm%2Bdescriptor%2B%2BA%2Bproposed%2Bterm%2Bweighting%2Bscheme%2Bfor%2Bfeature%2Bselection%2528abstract%2529.pdf Bong, Chih How and Kulathuramaiyer, Narayanan and Wong, Ting Kiong (2005) Categorical term descriptor: a proposed term weighting scheme for feature selection. In: 2005 IEEENVlClACM International Conference on Web Intelligence (W1'05). |
| spellingShingle | AC Collections. Series. Collected works T Technology (General) Bong, Chih How Kulathuramaiyer, Narayanan Wong, Ting Kiong Categorical term descriptor: a proposed term weighting scheme for feature selection |
| title | Categorical term descriptor: a proposed term weighting scheme for feature selection |
| title_full | Categorical term descriptor: a proposed term weighting scheme for feature selection |
| title_fullStr | Categorical term descriptor: a proposed term weighting scheme for feature selection |
| title_full_unstemmed | Categorical term descriptor: a proposed term weighting scheme for feature selection |
| title_short | Categorical term descriptor: a proposed term weighting scheme for feature selection |
| title_sort | categorical term descriptor: a proposed term weighting scheme for feature selection |
| topic | AC Collections. Series. Collected works T Technology (General) |
| url | http://ir.unimas.my/id/eprint/1196/ http://ir.unimas.my/id/eprint/1196/1/categorical%2Bterm%2Bdescriptor%2B%2BA%2Bproposed%2Bterm%2Bweighting%2Bscheme%2Bfor%2Bfeature%2Bselection%2528abstract%2529.pdf |