Feature selection that aims to determine and select the distinctive terms representing a best
document is one of the most important steps of classification. With the feature selection …

Automatic text categorization is an important research area and has a potential for many text-
based applications including text routing and filtering. Typical text classifiers learn from …

This study presents a new framework for termset selection and weighting. The proposed
framework is based on employing the joint occurrence statistics of pairs of terms for termset …

The rapid growth of World Wide Web has led to explosive growth of information. As most of
information is stored in the form of texts, text mining has gained paramount importance. With …

With the advancing growth of the World Wide Web (WWW) and the expanding availability of
electronic text documents, the automatic assignment of text classification (ATC) has become …

Automatic text classification (ATC) is important in applications such as indexing and
organizing electronic documents in databases leading to enhancement of information …

As a machine intelligence paradigm, the support vector machines (SVMs) have tremendous
potential for helping people to classify text document into a fixed number of predefined …

Several text mining techniques have been proposed to deal with the huge number of textual
documents that are available and that have been published nowadays. Mainly classification …

The Web is a tremendous source of information, so tremendous that it becomes difficult for
human beings to select meaningful information without support. Categorization of …

Automatic classification of text documents has become an important research issue now
days. Proper classification of text documents requires information retrieval, machine learning …