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:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 语言: | eng eng |
| 出版: |
2007
|
| 主题: | |
| 在线阅读: | https://etd.uum.edu.my/111/1/norfadila.pdf https://etd.uum.edu.my/111/2/norfadila.pdf |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| 总结: | 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. |
|---|