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

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:eng
eng
Published: 2007
Subjects:
QA76 Computer software
Online Access:https://etd.uum.edu.my/111/1/norfadila.pdf
https://etd.uum.edu.my/111/2/norfadila.pdf
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id my-uum-etd.111
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
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
qualification_name masters
qualification_level Master's degree
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.
granting_institution Universiti Utara Malaysia
granting_department College of Arts and Sciences (CAS)
publishDate 2007
url https://etd.uum.edu.my/111/1/norfadila.pdf
https://etd.uum.edu.my/111/2/norfadila.pdf
_version_ 1747826822099238912
spelling my-uum-etd.1112013-07-24T12:05:38Z Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques. 2007-12-10 Norfadila, Mahrom College of Arts and Sciences (CAS) Faculty of Information Technology 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 Thesis https://etd.uum.edu.my/111/ https://etd.uum.edu.my/111/1/norfadila.pdf application/pdf eng validuser https://etd.uum.edu.my/111/2/norfadila.pdf application/pdf eng public masters masters Universiti Utara Malaysia Abd Rahman, S. (2006). Automated Document Preprocessing for Text Categorization System (TCS). Thesis for the degree Master of Science (Information Technology), Universiti Utara Malaysia, Kedah. Ahmad, F., Yusoff, M., & Sembok, T. M. T. (1996). Experiments with a Stemming Algorithmm for Malay Words. Journal of the American Society for Information Science, 47(12), pp. 909-918. Alonso, M. A., Cabrero, D., & Vilares, M. (1999). Generalized LR Parsing for Extensions of Context-Free Grammars, Universidade da Coruna. Arimura, H., Abe, J., Fujino, R., Sakamoto, H., Shomozono, S., & Arikawa, S. (2001). Text Data Mining: Discovery of Important Keywords in the Cyberspace, pp.220-226. 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