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 …

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 …

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 …

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 classification is a very important area in information retrieval. Text classification
techniques used to classify documents into a set of predefined categories. There are several …

Text classification (TC) is an approach used for the classification of any kind of documents
for the target category or out. In this paper, we implemented the Support Vector Machines …

This paper reports a comparative study of two machine learning methods on Arabic text
categorization. Based on a collection of news articles as a training set, and another set of …

The development of the World Wide Web it is no longer feasible for a user can understand
all the data coming from classify into categories. The expansion of information and power …

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

Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …