Review of feature selection methods for text classification

Abstract

BackgroundWith the immense growth of online information due to Internet, text-categorization has become a very significant technology to classify a large number of documents to make them useful.The concept of text classification is to categorize textual data into one or more predefined categories [1-3].It is not possible to manage manually these big datasets.As a result, we witness the development of various machine learning and data mining methods.These methods are being used for automatic recognition of the patterns in large data sets for gaining useful information.