With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

This paper discusses a novel hybrid approach to text classification that integrates a machine
learning algorithm along with DistilBERT, a pre-trained deep learning framework for natural …

A handful of text data mining approaches are available to extract many potential information
and association from large amount of text data. The term data mining is used for methods …

The World Wide Web has become a fundamental resource of information for an increasing
number of activities, and a huge information flow is exchanged today through the Internet for …

Classifier to automatically categorize the content of web feeds consumed by a web
aggregator. The pre-defined category of the feed to be consumed by the aggregator does …

Globalization and economic trade has change the scrutiny of facts from data to knowledge.
For the same purpose data mining techniques have been involved in copious real world …

With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

Abstract Automatic Text Categorization refers to assigning uncategorized text documents to
one or more predefined categories. Texts categorization generally divided into two main …