A Novel Heuristic Text Classification Algorithm Based on Support Vector Machines

Abstract

Support Vector Machines (SVM), one of the new techniques for text classification, have been widely used in many application areas. SVM try to find an optimal hyperplane within the input space so as to correctly classify the binary classification problem. We present a novel heuristic text classification approach based on genetic algorithm (GA) and SVM. Simulation results demonstrate that GA and SVM are integrated effectively, and have good classification accuracy.