An Efficient Method for Automatic Text Categorization
Automatic text categorization refers to assigning uncategorized text documents to one or more predefined categories. Texts categorization generally divided into two main sections: feature selection and learning algorithm. For Feature selection and learning algorithms techniques, various methods have been proposed. The purpose of the proposed techniques, increasing the accuracy of classification and achieve optimal performance. In this paper, a hybrid method is proposed which uses filtering feature selection technique to reduce the complexity and works on combining classifiers outputs.