LSI-based semantic characterisation for automated text categorisation
As knowledge acquisition remains a bottleneck, incorporating human judgement within intelligent systems is still a challenge. Supervised learning methods have shown to be able to assist humans in automated text categorization (ATC). However, the performance of such systems is largely dependent on th...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Faculty of Computer Science and Information Technology
2009
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/167/8/LSI-based%20semantic%20characterization%20for%20automated%20text%20categorization%20%28fulltext%29.pdf http://ir.unimas.my/id/eprint/167/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Sarawak |
| Language: | English |