Title

A new feature selection method based on support vector machines for text categorization

Document Type

Article

Publication Title

International Journal of Data Analysis Techniques and Strategies

Abstract

As a machine intelligence paradigm, the support vector machines (SVMs) have tremendous potential for helping people to classify text document into a fixed number of predefined categories. The purpose of this paper is to discuss a new method of feature selection combined with principal component analysis and class profile-based feature as an input vector for SVMs classifier, and to demonstrate the effectiveness of this process. This paper also demonstrates that an applied method with SVMs improves categorisation performance and reduces the amount of time required to configure a learning machine. Copyright © 2011 Inderscience Enterprises Ltd.

First Page

1

Last Page

20

DOI

10.1504/IJDATS.2011.038803

Publication Date

1-1-2011

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