Combination of Text Classification Algorithms by Genetic Programming

Abstract

The analysis is done by expert who analyzes data while combining various algorithms with the trial and error on text mining. In this paper, two or more text classification algorithms are combined by using the genetic programming, and it proposes the system that classifies the text. The tuning of the parameter of the algorithm at the same time constructing the best use of the feature of each algorithm by learning the combination by the genetic programming becomes possible. We discuss combined text mining with genetic programming for mail classification task.