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 |
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Faculty of Computer Science and Information Technology
2001
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| Online Access: | http://ir.unimas.my/1697/ http://ir.unimas.my/1697/1/bong%2Bchih%2Bhow.pdf http://ir.unimas.my/1697/7/2013-02-thBongCHfull.pdf |
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eprints |
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unimas-16972015-08-20T02:00:01Z http://ir.unimas.my/1697/ A machine learning framework for automated text categorization Bong, Chih How AC Collections. Series. Collected works QA75 Electronic computers. Computer science 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/1697/1/bong%2Bchih%2Bhow.pdf text en http://ir.unimas.my/1697/7/2013-02-thBongCHfull.pdf Bong, Chih How (2001) A machine learning framework for automated text categorization. Masters thesis, Universiti Malaysia Sarawak. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Sarawak |
| building |
UNIMAS Institutional Repository |
| collection |
Online Access |
| language |
English English |
| topic |
AC Collections. Series. Collected works QA75 Electronic computers. Computer science |
| spellingShingle |
AC Collections. Series. Collected works QA75 Electronic computers. Computer science Bong, Chih How A machine learning framework for automated text categorization |
| 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. |
| format |
Thesis |
| author |
Bong, Chih How |
| author_facet |
Bong, Chih How |
| author_sort |
Bong, Chih How |
| title |
A machine learning framework for automated text categorization |
| title_short |
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_sort |
machine learning framework for automated text categorization |
| publisher |
Faculty of Computer Science and Information Technology |
| publishDate |
2001 |
| url |
http://ir.unimas.my/1697/ http://ir.unimas.my/1697/1/bong%2Bchih%2Bhow.pdf http://ir.unimas.my/1697/7/2013-02-thBongCHfull.pdf |
| first_indexed |
2018-09-06T14:45:27Z |
| last_indexed |
2018-09-06T14:45:27Z |
| _version_ |
1610869771288444928 |