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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| Format: | Thesis |
| Language: | en en |
| 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 https://etd.uum.edu.my/111/ |
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| _version_ | 1833435296244432896 |
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| author | Norfadila, Mahrom |
| author_facet | Norfadila, Mahrom |
| author_sort | Norfadila, Mahrom |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uum.etd-111 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2007 |
| record_format | eprints |
| spelling | my.uum.etd-1112013-07-24T12:05:38Z https://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 https://etd.uum.edu.my/111/1/norfadila.pdf application/pdf en https://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. |
| spellingShingle | QA76 Computer software Norfadila, Mahrom Information Extraction From Malay Vehicle Advertisement Text Using Natural Language Processing Techniques. |
| title | 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_short | 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. |
| topic | QA76 Computer software |
| url | https://etd.uum.edu.my/111/1/norfadila.pdf https://etd.uum.edu.my/111/2/norfadila.pdf https://etd.uum.edu.my/111/ |
| url_provider | http://etd.uum.edu.my/ |