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Ant Colony Optimization Based Text Classification

Author(s):

Dr.D.Thamaraiselvi , CSE DEPT, SCSVMV ,KANCHIPURAM

Keywords:

Ant Colony Optimization; Text Classification; Feature

Abstract

A new text classification algorithm which is based on Ant Colony Algorithm is proposed in this paper. It makes use of the advantage in solving discrete problems by ACO and discreteness of text documents’ features. Texts are classified by crawling of class population ants which have class information with them to find an optimal path matching it during iteration in the algorithm. It can get a satisfactory classification by the experiment.

Other Details

Paper ID: IJSRDV7I120381
Published in: Volume : 7, Issue : 12
Publication Date: 01/03/2020
Page(s): 867-869

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