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Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques.

Some of the vehicle advertisements are represented in textual documents, and it requires a reader to read the entire document and understands its content before the important information can be extracted. This process consumes more time instead of having a system that can extract the important infor...

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Main Author: Norfadila, Mahrom
Format: Thesis
Language:English
English
Published: 2007
Subjects:
QA76 Computer software
Online Access:http://etd.uum.edu.my/111/1/norfadila.pdf
http://etd.uum.edu.my/111/2/norfadila.pdf
http://etd.uum.edu.my/111/
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spelling my.uum.etd.1112013-07-24T12:05:38Z http://etd.uum.edu.my/111/ Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques. Norfadila, Mahrom QA76 Computer software Some of the vehicle advertisements are represented in textual documents, and it requires a reader to read the entire document and understands its content before the important information can be extracted. This process consumes more time instead of having a system that can extract the important information from the document automatically without the reader needs to read the whole document. In this study, a prototype system was developed to assist a reader to extract important information from the Malay vehicle advertisement by applying natural language processing (NLP) techniques. The NLP techniques that have been used are focused on the syntactic processing. 2007-12-10 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/111/1/norfadila.pdf application/pdf en http://etd.uum.edu.my/111/2/norfadila.pdf Norfadila, Mahrom (2007) Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Norfadila, Mahrom
Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques.
description Some of the vehicle advertisements are represented in textual documents, and it requires a reader to read the entire document and understands its content before the important information can be extracted. This process consumes more time instead of having a system that can extract the important information from the document automatically without the reader needs to read the whole document. In this study, a prototype system was developed to assist a reader to extract important information from the Malay vehicle advertisement by applying natural language processing (NLP) techniques. The NLP techniques that have been used are focused on the syntactic processing.
format Thesis
author Norfadila, Mahrom
author_facet Norfadila, Mahrom
author_sort Norfadila, Mahrom
title Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques.
title_short Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques.
title_full Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques.
title_fullStr Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques.
title_full_unstemmed Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques.
title_sort information extraction from malay vehicle advertisement text using natural language processing techniques.
publishDate 2007
url http://etd.uum.edu.my/111/1/norfadila.pdf
http://etd.uum.edu.my/111/2/norfadila.pdf
http://etd.uum.edu.my/111/
_version_ 1644276051705069568
score 13.211869

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