Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman

Documents retrieval in Information Retrieval Systems (IRS) is generally about understanding of information in the documents concern. The more the system able to understand the contents of documents the more effective will be the retrieval outcomes. But understanding of the contents is a very complex...

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Main Author:	Kamaruzaman, Muhd Ruzlan
Format:	Thesis
Language:	English
Published:	2010
Online Access:	https://ir.uitm.edu.my/id/eprint/87191/1/87191.pdf
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id	my-uitm-ir.87191
record_format	uketd_dc
spelling	my-uitm-ir.871912024-01-30T08:53:16Z Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman 2010 Kamaruzaman, Muhd Ruzlan Documents retrieval in Information Retrieval Systems (IRS) is generally about understanding of information in the documents concern. The more the system able to understand the contents of documents the more effective will be the retrieval outcomes. But understanding of the contents is a very complex task. Conventional IRS applies algorithms that can only approximate the meaning of document contents through keywords approach using Latent Semantic indexing. In information retrieval, a text operation is called indexing is applied to the documents need to be retrieved, in order to aid with the retrieval process by making it easier to search through the documents available. 2010 Thesis https://ir.uitm.edu.my/id/eprint/87191/ https://ir.uitm.edu.my/id/eprint/87191/1/87191.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Mohamed Hanum, Haslizatul Fairuz
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamed Hanum, Haslizatul Fairuz
description	Documents retrieval in Information Retrieval Systems (IRS) is generally about understanding of information in the documents concern. The more the system able to understand the contents of documents the more effective will be the retrieval outcomes. But understanding of the contents is a very complex task. Conventional IRS applies algorithms that can only approximate the meaning of document contents through keywords approach using Latent Semantic indexing. In information retrieval, a text operation is called indexing is applied to the documents need to be retrieved, in order to aid with the retrieval process by making it easier to search through the documents available.
format	Thesis
qualification_level	Bachelor degree
author	Kamaruzaman, Muhd Ruzlan
spellingShingle	Kamaruzaman, Muhd Ruzlan Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman
author_facet	Kamaruzaman, Muhd Ruzlan
author_sort	Kamaruzaman, Muhd Ruzlan
title	Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman
title_short	Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman
title_full	Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman
title_fullStr	Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman
title_full_unstemmed	Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman
title_sort	word stemming for malay document based retrieval system using latent semantic indexing technique / muhd ruzlan kamaruzaman
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/87191/1/87191.pdf
_version_	1794192118531489792

Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman

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