Text classification is one of the most critical areas of research in the field of natural language
processing (NLP). Recently, most of the NLP tasks achieve remarkable performance by …

Text classification tasks are indispensable in natural language processing. With the
development of Internet technology, the way people transmit information has changed from …

Despite the fact that text classification has grown in relevance over the last decade, there are
a plethora of approaches that have been created to meet the difficulties related with text …

There are a lot of work has been implemented to solve the problem of text classification but
There is only few researchers doing Arabic text classification because of the difficulties in …

Text classification is the process of determining categories or tags of a document depending
on its content. Although it is a well-known process, it has many steps that require tuning to …

Text classification is one of the most important issues in natural language processing. In this
study, texts belonging to different problems were classified using classical machine learning …

The text represents one of the most widespread sequential models and as such is well
suited to the application of deep learning models from sequential data. Deep learning …

Text classification is an emerging area in Natural Language Processing (NLP). On the other
hand, traditional text classification methods need to be improved due to the complexity and …

This With the popularity of artificial intelligence in recent years, Natural Language
Processing (NLP) technology has also become the focus of research. NLP technology's …

Deep learning technology develops rapidly. Convolutional Neural Network (CNN), as a key
technology in deep learning, has been favored and concerned by many scholars and widely …