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

Norfadila, Mahrom (2007) Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques. Masters thesis, Universiti Utara Malaysia.

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Abstract

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.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Information Extraction, Information Technology
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences (CAS)
Depositing User: Mr Husni Ismail
Date Deposited: 02 Jul 2009 05:21
Last Modified: 24 Jul 2013 12:05
URI: http://etd.uum.edu.my/id/eprint/111

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