Text Classification with Deep Learning and Transfer Learning: A Survey

Abstract

This paper review 2 Section briefly discusses the evolution of the text classification algorithms including rule-based and traditional machine learning approaches and deep learning models including pre-trained models. Being one of the significant areas in the NLP [1] text classification is useful for many uses including search and analysis of opinions within texts. The AI tools like ImageAI CNN, RNN and pre-trained models like BERT [2] In performing classification on text is emphasized and how each play a vital role in dealing with large and complex texts accordingly. The problem and directions for future work for the text classifications are also outlined advice to researchers and some practitioners in the study area.