Cover Image

Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak

Information retrieval is a tool to perform searching an effectively and efficiently. Document retrieval or text retrieval is a branch of information retrieval where the information is stored in the form of text. According to Tengku Mohd, document retrieval in Information Retrieval Systems (IRS) is g...

Full description

Saved in:
Bibliographic Details
Main Author: Ishak, Nor Hidayah
Format: Thesis
Language:English
Published: 2010
Subjects:
Information storage and retrieval systems
Online Access:https://ir.uitm.edu.my/id/eprint/98095/1/98095.pdf
https://ir.uitm.edu.my/id/eprint/98095/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.98095
record_format eprints
spelling my.uitm.ir.980952024-07-29T09:47:25Z https://ir.uitm.edu.my/id/eprint/98095/ Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak Ishak, Nor Hidayah Information storage and retrieval systems Information retrieval is a tool to perform searching an effectively and efficiently. Document retrieval or text retrieval is a branch of information retrieval where the information is stored in the form of text. According to Tengku Mohd, document retrieval in Information Retrieval Systems (IRS) is generally about understanding of information in the contents of documents (2005). The retrieval outcomes will be more effective if the system more understand the contents of documents (Tengku Mohd, 2005).The rapid growth of text document in Malay language such as parliamentary proceedings, newspaper articles, and academic publications can give harder to find relevant information. Therefore, this research is developed text retrieval prototype using Latent Semantic Indexing on transcribed Malaysian Parliament documents. By using Latent Semantic Indexing (LSI) technique is can speed up the process of searching and retrieving information from text documents. The Malaysian Parliament documents are maintained by House of Parliament. These documents are categorized into House of Commons and House of Lords. 2010 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/98095/1/98095.pdf Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak. (2010) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Information storage and retrieval systems
spellingShingle Information storage and retrieval systems
Ishak, Nor Hidayah
Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak
description Information retrieval is a tool to perform searching an effectively and efficiently. Document retrieval or text retrieval is a branch of information retrieval where the information is stored in the form of text. According to Tengku Mohd, document retrieval in Information Retrieval Systems (IRS) is generally about understanding of information in the contents of documents (2005). The retrieval outcomes will be more effective if the system more understand the contents of documents (Tengku Mohd, 2005).The rapid growth of text document in Malay language such as parliamentary proceedings, newspaper articles, and academic publications can give harder to find relevant information. Therefore, this research is developed text retrieval prototype using Latent Semantic Indexing on transcribed Malaysian Parliament documents. By using Latent Semantic Indexing (LSI) technique is can speed up the process of searching and retrieving information from text documents. The Malaysian Parliament documents are maintained by House of Parliament. These documents are categorized into House of Commons and House of Lords.
format Thesis
author Ishak, Nor Hidayah
author_facet Ishak, Nor Hidayah
author_sort Ishak, Nor Hidayah
title Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak
title_short Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak
title_full Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak
title_fullStr Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak
title_full_unstemmed Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak
title_sort text retrieval for malaysian parliament document using latent semantic indexing technique / nor hidayah ishak
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/98095/1/98095.pdf
https://ir.uitm.edu.my/id/eprint/98095/
_version_ 1806422152785690624
score 13.211869

Similar Items