Abstract:

Compared with traditional machine learning models, deep learning models attempts to imitate human learning ideas and automatically perform feature extraction from massive data through computers.Text classification is an important application in natural language processing and plays a key role in text information processing.In the past few years, research on text classification has surged and achieved good results.This study briefly introduces text classification methods based on traditional models and deep learning models,and reviews advanced text classification methods, with a focus on models for deep learning.The deep learning methods, research progress and achievements used in text classification in recent years are introduced and summarized, and the development trend of deep learning in the field of text classification and the difficulties are summarized and prospected in this study.

Key words: deep learning, natural language processing, text classification, machine learning, neural networks, pre-trained model, attention mechanism, long short-term memory