Experimental study of support vector machines and Naïve Bayes classifier on automated subject area classification
Subject area classification allow researchers to identify publications based on their discipline or research domain. When number of document is large, classification of publication documents become increasingly difficult. Besides, covering granularity of broad range of subject areas manually is a cr...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Journal of Information Systems Research and Innovation (JISRI)
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/80618/ https://seminar.utmspace.edu.my/jisri/download/Volume%2011-3/Paper%202%20Rajan%20CR%207-13.pdf |
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| Institution: | Universiti Teknologi Malaysia |