Text classification approach gaining more importance because of the accessibility of large
number of electronic documents from a variety of resource. Text categorization is the task of …

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

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 enormous amount of information stored in unstructured texts cannot simply be used for
further processing by computers, which typically handle text as simple sequences of …

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 …

Text document classification approaches are designed to categorise documents into
predefined classes. These approaches have two main components: document …

Text Mining is the discovery of valuable, yet hidden, information from the text document. Text
classification (Also called Text Categorization) is one of the important research issues in the …

With the explosion of information fuelled by the growth of the World Wide Web it is no longer
feasible for a human observer to understand all the data coming in or even classify it into …

Automatic Text categorization refers to the process of assigning a category or some
categories automatically among predefined ones. Text categorization is challenging in …

Abstract 1 Text mining draw more and more attention recently, it has been applied on
different domains including web mining, opinion mining, and sentiment analysis. Text pre …