Abstract
Considering the important role text classification plays in natural language processing tasks, improving the accuracy and efficiency of text classification has been a priority in recent work. In this paper, we focus on the latest text classification methods and sort them into three categories: embedding methods, language models, and various neural networks. We summarize the state of current research and the insufficiencies which may be directions for future study.
Publisher
Darcy & Roy Press Co. Ltd.