Content words extraction using Malay text document / Nurfarahidayu Samshudin

Information is growing rapidly; anyone is able to get the information easily without any restriction especially using the World Wide Web. However, cause of too many information, sometimes readers cannot get the important value of that information. Therefore, it will leads to wrong information and wa...

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Bibliographic Details
Main Author:	Samshudin, Nurfarahidayu
Format:	Thesis
Language:	English
Published:	2011
Subjects:	Analysis
Online Access:	https://ir.uitm.edu.my/id/eprint/98082/1/98082.pdf
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id	my-uitm-ir.98082
record_format	uketd_dc
spelling	my-uitm-ir.980822024-07-29T09:47:27Z Content words extraction using Malay text document / Nurfarahidayu Samshudin 2011 Samshudin, Nurfarahidayu Analysis Information is growing rapidly; anyone is able to get the information easily without any restriction especially using the World Wide Web. However, cause of too many information, sometimes readers cannot get the important value of that information. Therefore, it will leads to wrong information and waste of time on reading. The research proposes an algorithm that will automatically extract the Malay documents to improve access to information. Content words extraction techniques is explored and used as possible content and value for the text document. In the process of development the prototype, Bigram technique is introduce to assists on searching the related word of content word. As a result, the prototype will display all related sentences with content words. 2011 Thesis https://ir.uitm.edu.my/id/eprint/98082/ https://ir.uitm.edu.my/id/eprint/98082/1/98082.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Md Hanum, Haslizatul Fairuz
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Md Hanum, Haslizatul Fairuz
topic	Analysis
spellingShingle	Analysis Samshudin, Nurfarahidayu Content words extraction using Malay text document / Nurfarahidayu Samshudin
description	Information is growing rapidly; anyone is able to get the information easily without any restriction especially using the World Wide Web. However, cause of too many information, sometimes readers cannot get the important value of that information. Therefore, it will leads to wrong information and waste of time on reading. The research proposes an algorithm that will automatically extract the Malay documents to improve access to information. Content words extraction techniques is explored and used as possible content and value for the text document. In the process of development the prototype, Bigram technique is introduce to assists on searching the related word of content word. As a result, the prototype will display all related sentences with content words.
format	Thesis
qualification_level	Bachelor degree
author	Samshudin, Nurfarahidayu
author_facet	Samshudin, Nurfarahidayu
author_sort	Samshudin, Nurfarahidayu
title	Content words extraction using Malay text document / Nurfarahidayu Samshudin
title_short	Content words extraction using Malay text document / Nurfarahidayu Samshudin
title_full	Content words extraction using Malay text document / Nurfarahidayu Samshudin
title_fullStr	Content words extraction using Malay text document / Nurfarahidayu Samshudin
title_full_unstemmed	Content words extraction using Malay text document / Nurfarahidayu Samshudin
title_sort	content words extraction using malay text document / nurfarahidayu samshudin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2011
url	https://ir.uitm.edu.my/id/eprint/98082/1/98082.pdf
_version_	1811768886365782016

Content words extraction using Malay text document / Nurfarahidayu Samshudin

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