A machine learning framework for automated text categorization
This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text document...
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| Format: | Thesis |
| Language: | English |
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Faculty of Computer Science and Information Technology
2001
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| Online Access: | http://ir.unimas.my/id/eprint/1697/ http://ir.unimas.my/id/eprint/1697/4/Bong%20Chih%20How%20ft.pdf |
| _version_ | 1848834813959602176 |
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| author | Bong, Chih How |
| author_facet | Bong, Chih How |
| author_sort | Bong, Chih How |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text documents such as conference papers tend to be rather heterogeneous having a rich structure with variable length documents where each category consists of a variable number of documents. |
| first_indexed | 2025-11-15T05:57:57Z |
| format | Thesis |
| id | unimas-1697 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:57:57Z |
| publishDate | 2001 |
| publisher | Faculty of Computer Science and Information Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-16972025-06-16T00:57:48Z http://ir.unimas.my/id/eprint/1697/ A machine learning framework for automated text categorization Bong, Chih How Q Science (General) This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text documents such as conference papers tend to be rather heterogeneous having a rich structure with variable length documents where each category consists of a variable number of documents. Faculty of Computer Science and Information Technology 2001 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/1697/4/Bong%20Chih%20How%20ft.pdf Bong, Chih How (2001) A machine learning framework for automated text categorization. Masters thesis, Universiti Malaysia Sarawak (UNIMAS). |
| spellingShingle | Q Science (General) Bong, Chih How A machine learning framework for automated text categorization |
| title | A machine learning framework for automated text categorization |
| title_full | A machine learning framework for automated text categorization |
| title_fullStr | A machine learning framework for automated text categorization |
| title_full_unstemmed | A machine learning framework for automated text categorization |
| title_short | A machine learning framework for automated text categorization |
| title_sort | machine learning framework for automated text categorization |
| topic | Q Science (General) |
| url | http://ir.unimas.my/id/eprint/1697/ http://ir.unimas.my/id/eprint/1697/4/Bong%20Chih%20How%20ft.pdf |