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: | |
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| Format: | Thesis |
| Language: | eng eng |
| Published: |
2007
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| Subjects: | |
| Online Access: | https://etd.uum.edu.my/111/1/norfadila.pdf https://etd.uum.edu.my/111/2/norfadila.pdf |
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| Summary: | 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. |
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