Indexing system for spoken document / Aishul Aman Sulaiman Bukhari

Retrieving relevant speeches including their respective video and audio from Hansard Document is one of the current problems in the parliament of Malaysia. The website of the parliament of Malaysia also only provides the text-based result and output in the system. In this project, the scopes are the...

Full description

Saved in:

Bibliographic Details
Main Author:	Sulaiman Bukhari, Aishul Aman
Format:	Thesis
Language:	English
Published:	2011
Subjects:	Analysis
Online Access:	https://ir.uitm.edu.my/id/eprint/98086/1/98086.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.98086
record_format	uketd_dc
spelling	my-uitm-ir.980862024-08-21T23:27:38Z Indexing system for spoken document / Aishul Aman Sulaiman Bukhari 2011 Sulaiman Bukhari, Aishul Aman Analysis Retrieving relevant speeches including their respective video and audio from Hansard Document is one of the current problems in the parliament of Malaysia. The website of the parliament of Malaysia also only provides the text-based result and output in the system. In this project, the scopes are the spoken document from the parliament of Malaysia and randomly chosen audio and video files as the corresponding information for the spoken document. Next, this project discussed about the information retrieval and the indexing system applied to get the text also with its corresponding audio and video files before we can search the information using the Hansard Document precisely. The use of an algorithm of naming convention will be developed to create an indexing name for each document to make an ease in searching the requested information. Therefore, with a proper storage for the information and indexing method, we can get the relevant information more precisely and easily in a faster time. For the future enhancement, this system needs a good database for more accurately to store the raw data for retrieving information. 2011 Thesis https://ir.uitm.edu.my/id/eprint/98086/ https://ir.uitm.edu.my/id/eprint/98086/1/98086.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
topic	Analysis
spellingShingle	Analysis Sulaiman Bukhari, Aishul Aman Indexing system for spoken document / Aishul Aman Sulaiman Bukhari
description	Retrieving relevant speeches including their respective video and audio from Hansard Document is one of the current problems in the parliament of Malaysia. The website of the parliament of Malaysia also only provides the text-based result and output in the system. In this project, the scopes are the spoken document from the parliament of Malaysia and randomly chosen audio and video files as the corresponding information for the spoken document. Next, this project discussed about the information retrieval and the indexing system applied to get the text also with its corresponding audio and video files before we can search the information using the Hansard Document precisely. The use of an algorithm of naming convention will be developed to create an indexing name for each document to make an ease in searching the requested information. Therefore, with a proper storage for the information and indexing method, we can get the relevant information more precisely and easily in a faster time. For the future enhancement, this system needs a good database for more accurately to store the raw data for retrieving information.
format	Thesis
qualification_level	Bachelor degree
author	Sulaiman Bukhari, Aishul Aman
author_facet	Sulaiman Bukhari, Aishul Aman
author_sort	Sulaiman Bukhari, Aishul Aman
title	Indexing system for spoken document / Aishul Aman Sulaiman Bukhari
title_short	Indexing system for spoken document / Aishul Aman Sulaiman Bukhari
title_full	Indexing system for spoken document / Aishul Aman Sulaiman Bukhari
title_fullStr	Indexing system for spoken document / Aishul Aman Sulaiman Bukhari
title_full_unstemmed	Indexing system for spoken document / Aishul Aman Sulaiman Bukhari
title_sort	indexing system for spoken document / aishul aman sulaiman bukhari
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2011
url	https://ir.uitm.edu.my/id/eprint/98086/1/98086.pdf
_version_	1811768886613245952

Indexing system for spoken document / Aishul Aman Sulaiman Bukhari

Similar Items