IEEE

A Survey of Text Classification With Transformers: How Wide? How Large? How Long? How Accurate? How Expensive? How Safe?

Abstract: Text classification in natural language processing (NLP) is evolving rapidly, particularly with the surge in transformer-based models, including large language models (LLM). This paper ...
IEEE

A Novel Approach for Text Classification by Combining Pre-trained BERT Model with CNN Classifier

Abstract: Language model pre-training has emerged as a highly effective approach for acquiring universal language representations. Among the state-of-the-art models in this field, BERT (Bidirectional ...