The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Text Classification Techniques: A Literature Review Page 1 Volume 13, 2018 Accepted by
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …

ABSTRACT As most information (over 80%) is stored as text, text mining is believed to have
a high commercial potential value. knowledge may be discovered from many sources of …

Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …

Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …

In the recent years, the categorization of text documents into predefined classifications has
perceived a growing interest due to the growing of documents in digital form and needs to …

Evaluating Preprocessing Techniques in Text Categorization Page 1 International Journal of
Computer Science and Application Issue 2010 ISSN 0974-0767 49 Evaluating Preprocessing …

An important aspect to performing text categorization is selecting appropriate supervised
classification and feature selection methods. A comprehensive benchmark is needed to …

Automated text classification has been considered as a vital method to manage and process
a vast amount of documents in digital forms that are widespread and continuously …

Text Categorization is a pattern classification task for text mining and necessary for efficient
management of textual information systems. The documents can be classified by three ways …