Abstract

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.

Keywords:

Dempter-shafer theory, feature selection, text categorization,

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Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.