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 …

Text categorization is continuing to be one of the most researched NLP problems due to the
ever-increasing amounts of electronic documents and digital libraries. In this paper, we …

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

Most Web content categorization methods are based on the vector space model of
information retrieval. One of the most important advantages of this representation model is …

The incredible increase in the amount of information on the World Wide Web has caused the
birth of topic specific crawling of the Web. During a focused crawling process, an automatic …

The increasing numbers of on-line text documents make the process of searching and
accessing documents related to a specific category a very difficult task. By classifying the …

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

The World Wide Web is growing at an uncontrollable rate. Hundreds of thousands of web
sites appear every day, with the added challenge of keeping the web directories up-to-date …

As the size of the document collections are increasing day-by-day, finding an essential
document clusters for classification problem is one of the major problem due to high inter …