Text Classification is one of the most cited applications of Natural Language Processing.
Classification can save the cost of manual efforts and at the same time increase the …

The BERT model has arisen as a popular state-of-the-art model in recent years. It is able to
cope with NLP tasks such as supervised text classification without human supervision. Its …

The rapid progress in deep learning has propelled transformer-based models to the
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …

The BERT model has arisen as a popular state-of-the-art machine learning model in the
recent years that is able to cope with multiple NLP tasks such as supervised text …

As a well-known Natural Language Processing (NLP) task, text classification can be defined
as the process of categorizing documents depending on their content. In this process …

In recent years, the exponential growth of digital documents has been met by rapid progress
in text classification techniques. Newly proposed machine learning algorithms leverage the …

In natural language processing, text needs to be transformed into a machine-readable
representation before any processing. The quality of further natural language processing …

The advances in deep learning (DL) models have proven to achieve outstanding results in
text classification tasks. This success is due to DL models' potential to reach high accuracy …

Text classification is a basic task in natural language processing. Recently, pre-training
models such as BERT have achieved outstanding results compared with previous methods …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …