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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2007
|
| Subjects: | |
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Utara Malaysia |
| Language: | English English |
| 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. |
|---|