Malay documents clustering algorithm based on singular value decomposition.

Document categorization is a widely researched area of information retrieval. A research on Malay natural language processing has been done up to the level of retrieving documents but not to the extent of automatic semantic categorization. Thus, an approach for the clustering of Malay documents bas...

Full description

Bibliographic Details
Main Authors: Ab Samat, Nordianah, Azmi Murad, Masrah Azrifah, Abdullah, Muhamad Taufik, Atan, Rodziah
Format: Article
Language:English
English
Published: Asian Research Publishing Network (ARPN) 2009
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/15515/
http://psasir.upm.edu.my/id/eprint/15515/1/Malay%20documents%20clustering%20algorithm%20based%20on%20singular%20value%20decomposition.pdf
_version_ 1848842699116904448
author Ab Samat, Nordianah
Azmi Murad, Masrah Azrifah
Abdullah, Muhamad Taufik
Atan, Rodziah
author_facet Ab Samat, Nordianah
Azmi Murad, Masrah Azrifah
Abdullah, Muhamad Taufik
Atan, Rodziah
author_sort Ab Samat, Nordianah
building UPM Institutional Repository
collection Online Access
description Document categorization is a widely researched area of information retrieval. A research on Malay natural language processing has been done up to the level of retrieving documents but not to the extent of automatic semantic categorization. Thus, an approach for the clustering of Malay documents based on semantic relations between words is proposed in this paper. The method described in this paper uses Singular Value Decomposition (SVD) technique for the vector representation of each document where familiar clustering techniques can be applied in this space. The experimental results we obtained taking into account the semantics of the document that performed good document clustering by obtaining relevant subjects appearing in a cluster.
first_indexed 2025-11-15T08:03:17Z
format Article
id upm-15515
institution Universiti Putra Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-15T08:03:17Z
publishDate 2009
publisher Asian Research Publishing Network (ARPN)
recordtype eprints
repository_type Digital Repository
spelling upm-155152015-11-24T06:40:03Z http://psasir.upm.edu.my/id/eprint/15515/ Malay documents clustering algorithm based on singular value decomposition. Ab Samat, Nordianah Azmi Murad, Masrah Azrifah Abdullah, Muhamad Taufik Atan, Rodziah Document categorization is a widely researched area of information retrieval. A research on Malay natural language processing has been done up to the level of retrieving documents but not to the extent of automatic semantic categorization. Thus, an approach for the clustering of Malay documents based on semantic relations between words is proposed in this paper. The method described in this paper uses Singular Value Decomposition (SVD) technique for the vector representation of each document where familiar clustering techniques can be applied in this space. The experimental results we obtained taking into account the semantics of the document that performed good document clustering by obtaining relevant subjects appearing in a cluster. Asian Research Publishing Network (ARPN) 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15515/1/Malay%20documents%20clustering%20algorithm%20based%20on%20singular%20value%20decomposition.pdf Ab Samat, Nordianah and Azmi Murad, Masrah Azrifah and Abdullah, Muhamad Taufik and Atan, Rodziah (2009) Malay documents clustering algorithm based on singular value decomposition. Journal of Theoretical and Applied Information Technology, 8 (2). pp. 180-186. ISSN 1992-8645 Natural language processing (Computer science). Malay language - Data processing. Computer - Information theory. English
spellingShingle Natural language processing (Computer science).
Malay language - Data processing.
Computer - Information theory.
Ab Samat, Nordianah
Azmi Murad, Masrah Azrifah
Abdullah, Muhamad Taufik
Atan, Rodziah
Malay documents clustering algorithm based on singular value decomposition.
title Malay documents clustering algorithm based on singular value decomposition.
title_full Malay documents clustering algorithm based on singular value decomposition.
title_fullStr Malay documents clustering algorithm based on singular value decomposition.
title_full_unstemmed Malay documents clustering algorithm based on singular value decomposition.
title_short Malay documents clustering algorithm based on singular value decomposition.
title_sort malay documents clustering algorithm based on singular value decomposition.
topic Natural language processing (Computer science).
Malay language - Data processing.
Computer - Information theory.
url http://psasir.upm.edu.my/id/eprint/15515/
http://psasir.upm.edu.my/id/eprint/15515/1/Malay%20documents%20clustering%20algorithm%20based%20on%20singular%20value%20decomposition.pdf