Text classification using machine learning methods-a survey

Abstract

Text classification is used to organize documents in a predefined set of classes. It is very useful inWeb content management, search engines; email filtering, etc. Text classification is a difficult task due to high- dimensional feature vector comprising noisy and irrelevant features. Various feature reduction methods have been proposed for eliminating irrelevant features as well as for reducing the dimension of feature vector. Relevant and reduced feature vector is used by machine learning model for better classification results. This paper presents various text classification approaches using machine learning techniques, and feature selection techniques for reducing the high-dimensional feature vector.