TEXT CLASSIFICATION BASED ON FUZZY RADIAL BASIS FUNCTION
DOI:
https://doi.org/10.25195/ijci.v45i1.40Keywords:
s: Text classification, RBF, FRBF, Information gain, mutual informationAbstract
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.
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