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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Bibliographic Details
Main Author: Bong, Chih How
Format: Thesis
Language:English
Published: Faculty of Computer Science and Information Technology 2001
Subjects:
Online Access:http://ir.unimas.my/id/eprint/1697/
http://ir.unimas.my/id/eprint/1697/4/Bong%20Chih%20How%20ft.pdf
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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
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institution Universiti Malaysia Sarawak
institution_category Local University
language English
last_indexed 2025-11-15T05:57:57Z
publishDate 2001
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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