In the recent years, the categorization of text documents into predefined classifications has
perceived a growing interest due to the growing of documents in digital form and needs to …

In this contemporaneous world, it is an obligation for any organization working with
documents to end up with the insipid task of classifying truckload of documents, which is the …

Text classification is an important task which may help human reducing time and effort. This
work is aimed to propose an approach for text classification, especially for articles. The …

Text classification is the task of forming semantic groups of text documents by assigning
predefined class labels. It has wide range of real-life applications in various domains such …

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 …

Automatic document categorization gains more importance in view of the plethora of textual
documents added constantly on the web. Text categorization or classification is the process …

In the last decade, online content has entered a stage where news related organizations are
reluctant to invest in offline operations due to excessive aberrations in content distributions …

There have been great improvements in web technology over the past years which heavily
loaded the Internet with various digital contents of different fields. This made finding certain …

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 …

The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …