Supervised machine learning studies are gaining more significant recently because of the
availability of the increasing number of the electronic documents from different resources …

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 …

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 …

The majority of the data is preserved as text (about 75%), hence It is believed that text
mining has a significant commercial potential. Unstructured texts continue to be the most …

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

In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

The effective representation of the relationship between the documents and their contents is
crucial to increase classification performance of text documents in the text classification …

Text classification is one of the important research issues in the field of text mining, where
the documents are classified with supervised knowledge. In literature we can find many text …

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 …