Term weighting schemes experiment based on SVD for Malay text retrieval.

Summary The goal in information retrieval is to locate relevant documents in response to a user's query at the same time retrieving as few as possible of the irrelevant documents. One possible approach to this problem is to use the Singular Value Decomposition (SVD) which models documents and q...

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Main Authors: Samat, Nordianah, Azmi Murad, Masrah Azrifah, Abdullah, Muhamad Taufik, Atan, Rodziah
Format: Article
Language:English
Published: International Journal of Computer Science and Network Security (IJCSNS) 2008
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author Samat, Nordianah
Azmi Murad, Masrah Azrifah
Abdullah, Muhamad Taufik
Atan, Rodziah
author_facet Samat, Nordianah
Azmi Murad, Masrah Azrifah
Abdullah, Muhamad Taufik
Atan, Rodziah
author_sort Samat, Nordianah
collection UPM
description Summary The goal in information retrieval is to locate relevant documents in response to a user's query at the same time retrieving as few as possible of the irrelevant documents. One possible approach to this problem is to use the Singular Value Decomposition (SVD) which models documents and queries as vectors in reduced space. The components of the vector are determined by the term weighting scheme, a function of the frequencies of the terms in the document or query. In this paper, we discuss term weighting schemes and the results from experiment on Malay text retrieval using a set of Malay document collection.
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institution Universiti Putra Malaysia
language English
last_indexed 2024-03-06T07:39:03Z
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publisher International Journal of Computer Science and Network Security (IJCSNS)
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spelling upm.eprints-169892014-02-11T08:52:34Z http://psasir.upm.edu.my/id/eprint/16989/ Term weighting schemes experiment based on SVD for Malay text retrieval. Samat, Nordianah Azmi Murad, Masrah Azrifah Abdullah, Muhamad Taufik Atan, Rodziah Summary The goal in information retrieval is to locate relevant documents in response to a user's query at the same time retrieving as few as possible of the irrelevant documents. One possible approach to this problem is to use the Singular Value Decomposition (SVD) which models documents and queries as vectors in reduced space. The components of the vector are determined by the term weighting scheme, a function of the frequencies of the terms in the document or query. In this paper, we discuss term weighting schemes and the results from experiment on Malay text retrieval using a set of Malay document collection. International Journal of Computer Science and Network Security (IJCSNS) 2008-10 Article PeerReviewed Samat, Nordianah and Azmi Murad, Masrah Azrifah and Abdullah, Muhamad Taufik and Atan, Rodziah (2008) Term weighting schemes experiment based on SVD for Malay text retrieval. International Journal of Computer Science and Network Security, 8 (10). pp. 357-361. ISSN 1738-7906 http://ijcsns.org/ English
spellingShingle Samat, Nordianah
Azmi Murad, Masrah Azrifah
Abdullah, Muhamad Taufik
Atan, Rodziah
Term weighting schemes experiment based on SVD for Malay text retrieval.
title Term weighting schemes experiment based on SVD for Malay text retrieval.
title_full Term weighting schemes experiment based on SVD for Malay text retrieval.
title_fullStr Term weighting schemes experiment based on SVD for Malay text retrieval.
title_full_unstemmed Term weighting schemes experiment based on SVD for Malay text retrieval.
title_short Term weighting schemes experiment based on SVD for Malay text retrieval.
title_sort term weighting schemes experiment based on svd for malay text retrieval
work_keys_str_mv AT samatnordianah termweightingschemesexperimentbasedonsvdformalaytextretrieval
AT azmimuradmasrahazrifah termweightingschemesexperimentbasedonsvdformalaytextretrieval
AT abdullahmuhamadtaufik termweightingschemesexperimentbasedonsvdformalaytextretrieval
AT atanrodziah termweightingschemesexperimentbasedonsvdformalaytextretrieval