Text Classification Based on Fuzzy Radial Basis Function

Abstract

Automated classification of text into predefined categories has always been considered as a vital method in the natural language processing field. In this paper new methods based on Radial Basis Function (RBF) and Fuzzy Radial Basis Function (FRBF) are used to solve the problem of text classification, where a set of features extracted for each sentence in the document collection these set of features introduced to FRBF and RBF to classify documents. Reuters 21578 dataset utilized for the purpose of text classification. The results showed the effectiveness of FRBF is better than RBF