A comparative study of the ensemble and base classifiers performance in Malay text categorization

Automatic text categorization (ATC) has attracted the attention of the research community over the last decade as it frees organizations from the need of manually organized documents. The ensemble techniques, which combine the results of a number of individually trained base classifiers, always impr...

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Main Authors:	Alshalabi, Hamood Ali, Sabrina Tiun, Nazlia Omar
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:	http://journalarticle.ukm.my/11854/ http://journalarticle.ukm.my/11854/ http://journalarticle.ukm.my/11854/1/19180-65874-1-PB.pdf

id	ukm-11854
recordtype	eprints
spelling	ukm-118542018-07-10T00:05:41Z http://journalarticle.ukm.my/11854/ A comparative study of the ensemble and base classifiers performance in Malay text categorization Alshalabi, Hamood Ali Sabrina Tiun, Nazlia Omar, Automatic text categorization (ATC) has attracted the attention of the research community over the last decade as it frees organizations from the need of manually organized documents. The ensemble techniques, which combine the results of a number of individually trained base classifiers, always improve classification performance better than base classifiers. This paper intends to compare the effectiveness of ensemble with that of base classifiers for Malay text classification. Two feature selection methods (the Gini Index (GI) and Chi-square) with the ensemble methods are applied to examine Malay text classification, with the intention to efficiently integrate base classifiers algorithms into a more accurate classification procedure. Two types of ensemble methods, namely the voting combination and meta-classifier combination, are evaluated. A wide range of comparative experiments are conducted to assess classified Malay dataset. The applied experiments reveal that meta-classifier ensemble framework performed better than the best individual classifiers on the tested datasets. Penerbit Universiti Kebangsaan Malaysia 2017-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11854/1/19180-65874-1-PB.pdf Alshalabi, Hamood Ali and Sabrina Tiun, and Nazlia Omar, (2017) A comparative study of the ensemble and base classifiers performance in Malay text categorization. Asia-Pacific Journal of Information Technology and Multimedia, 6 (2). pp. 53-64. ISSN 2289-2192 http://ejournals.ukm.my/apjitm/issue/view/1050
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Automatic text categorization (ATC) has attracted the attention of the research community over the last decade as it frees organizations from the need of manually organized documents. The ensemble techniques, which combine the results of a number of individually trained base classifiers, always improve classification performance better than base classifiers. This paper intends to compare the effectiveness of ensemble with that of base classifiers for Malay text classification. Two feature selection methods (the Gini Index (GI) and Chi-square) with the ensemble methods are applied to examine Malay text classification, with the intention to efficiently integrate base classifiers algorithms into a more accurate classification procedure. Two types of ensemble methods, namely the voting combination and meta-classifier combination, are evaluated. A wide range of comparative experiments are conducted to assess classified Malay dataset. The applied experiments reveal that meta-classifier ensemble framework performed better than the best individual classifiers on the tested datasets.
format	Article
author	Alshalabi, Hamood Ali Sabrina Tiun, Nazlia Omar,
spellingShingle	Alshalabi, Hamood Ali Sabrina Tiun, Nazlia Omar, A comparative study of the ensemble and base classifiers performance in Malay text categorization
author_facet	Alshalabi, Hamood Ali Sabrina Tiun, Nazlia Omar,
author_sort	Alshalabi, Hamood Ali
title	A comparative study of the ensemble and base classifiers performance in Malay text categorization
title_short	A comparative study of the ensemble and base classifiers performance in Malay text categorization
title_full	A comparative study of the ensemble and base classifiers performance in Malay text categorization
title_fullStr	A comparative study of the ensemble and base classifiers performance in Malay text categorization
title_full_unstemmed	A comparative study of the ensemble and base classifiers performance in Malay text categorization
title_sort	comparative study of the ensemble and base classifiers performance in malay text categorization
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2017
url	http://journalarticle.ukm.my/11854/ http://journalarticle.ukm.my/11854/ http://journalarticle.ukm.my/11854/1/19180-65874-1-PB.pdf
first_indexed	2023-09-18T20:01:18Z
last_indexed	2023-09-18T20:01:18Z
_version_	1777406866152751104

A comparative study of the ensemble and base classifiers performance in Malay text categorization

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