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2014 (Vol. 7, Issue: 5)
Article Information:

A Dempster-Shafer Model for Feature Selection in Text Categorization

P. Umar Sathic Ali and C. Jothi Venkateswaran
Corresponding Author:  P. Umar Sathic Ali 

Key words:  Dempter-shafer theory, feature selection, text categorization, , , ,
Vol. 7 , (5): 981-985
Submitted Accepted Published
January 31, 2013 March 02, 2013 February 05, 2014

In this study, we propose a feature selection method based on evident theoretic model for text categorization. The proposed model is formally expressed within the Dempster-Shafer Theory of Evidence. We discuss the way the theory is used to retrieve highly informative and relevant features from the document collection. The formal retrieval function is inferred from the said model and compared our proposed model with many of the conventional feature selection methods. Experimental evaluation on standard benchmark dataset has shown the effectiveness of the proposed method.
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  Cite this Reference:
P. Umar Sathic Ali and C. Jothi Venkateswaran, 2014. A Dempster-Shafer Model for Feature Selection in Text Categorization.  Research Journal of Applied Sciences, Engineering and Technology, 7(5): 981-985.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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