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 …

With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …

Text classification has always been an increasingly crucial topic in natural language
processing. Traditional text classification methods based on machine learning have many …

Text classification is a fundamental task in several areas of natural language processing
(NLP), including words semantic classification, sentiment analysis, question answering, or …

Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …

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 classification is one of the principal tasks of machine learning. It aims to design proper
algorithms to enable computers to extract features and classify texts automatically. In the …

From last decade, machine learning (ML) techniques have been used for Urdu text
processing. Due to lack of language resources, potential of deep learning (DL) models have …

In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

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 …