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

Text categorization is the process of algorithmically analyzing an electronic document to
assign a set of categories (or index terms) that succinctly describe the content of the …

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 …

Most of the research on text categorization has focused on classifying text documents into a
set of categories with no structural relationships among them (flat classification). However, in …

In recent decades, as enormous amount of data being accumulated, the number of text
documents is increasing vastly. E-mails, web pages, texts, news and articles are only part of …

Text classification automatically assigns text documents to one or more predefined
categories based on their content. In text classification, data are characterized by a large …

In this paper, we present a new feature selection method based on document frequencies
and statistical values. We also present a new similarity measure to calculate the degree of …

Text categorization is an important and critical task in the current era of high volume data
storage and handling. Feature selection is obviously one of the most important steps in text …

Document classification has become an important field of research due to the increase of
unstructured text documents available in digital form. It is considered one of the key …

By increasing the access to electronic documents and rapid growth of World Wide Web,
documents classification task automatically has become a key method to organizing …