A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization
Several methods have been studied in text categorization and mostly are inspired by the statistical distribution features in the texts, such as the implementation of Machine Learning (ML) methods. However, there is no work available that investigates the performance of ML-based methods against the t...
| Main Authors: | Mohd Sharef, Nurfadhlina, Martin, Trevor, Kasmiran, Khairul Azhar, Mustapha, Aida, Sulaiman, Md. Nasir, Azmi Murad, Masrah Azrifah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer-Verlag Berlin Heidelberg
2015
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/43473/ http://psasir.upm.edu.my/id/eprint/43473/1/abstract00.pdf |
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