• P-ISSN 2277 - 5366 E-ISSN 2277 - 5374

Indian Journal of Education and Information Management

Article

Indian Journal of Education and Information Management

Year: 2012, Volume: 1, Issue: 5, Pages: 233-238

Original Article

An empirical evaluation of lazy learning classifiers for text categorization

Received Date:05 May 2012, Accepted Date:05 May 2012, Published Date:05 May 2012

Abstract

With the rapid growth of online documents available on the World Wide Web necessitate the task of classifying those documents into semantic categories. Text categorization is the task of automatically classifying the textual documents into a set of predefined categories. In this paper, we report the empirical evaluation of lazy learning classifier such as kNN and its variant like distance weighted kNN and our newly proposed evident theoretic kNN for text categorization task over two benchmark datasets. We observed the superiority of evident theoretic kNN method over others in all experiments we conducted.
Keywords: Text categorization, Lazy learning, kNN.

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