International Conference on Information Technology (ITNG'07) Implementation of Unsupervised and Supervised Learning Systems for Multilingual Text Categorization Las Vegas, Nevada, USA April 02-April 04 ISBN: 0-7695-2776-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2007.107
In this paper we discuss the implementation of the leading supervised and unsupervised approaches for multilingual text categorization. We selected Support Vector Machines (SVM) and Latent Semantic Indexing (LSI) techniques as representatives of supervised and unsupervised methods for system implementation, respectively. The preliminary results show that our platform models including both supervised and unsupervised learning methods have the potentials for multilingual text categorization.
Citation:
Chung-Hong Lee, Hsin-Chang Yang, "Implementation of Unsupervised and Supervised Learning Systems for Multilingual Text Categorization," itng, pp.377-382, International Conference on Information Technology (ITNG'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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