计算机工程与科学2024，Vol.46Issue(4)：684-692,9.DOI:10.3969/j.issn.1007-130X.2024.04.013
基于深度学习的中文文本分类综述
A survey of Chinese text classification based on deep learning
高珊 1李世杰 1蔡志平1
作者信息
- 1. 国防科技大学计算机学院,湖南 长沙 410073
- 折叠
摘要
Abstract
In the era of big data,with the continuous popularization of social media,various text data are growing in the network and in life.It is of great significance to analyze and manage text data using text classification technology.Text classification is a basic research field in the field of artificial intelli-gence natural language processing.Under the given criteria,it classifies text according to content.The application scenarios of text classification are very extensive,such as sentiment analysis,topic classifica-tion,relationship classification,etc.Deep learning is a method of representation learning based on data in machine learning,and it shows good classification effect in text data processing.Chinese text and English text have differences in form,sound,and image.Focusing on the uniqueness of Chinese text classification,this paper analyzes and expounds the deep learning methods used for Chinese text classifi-cation,and finally sorts out commonly used datasets for Chinese text classification.关键词
中文文本分类/自然语言/深度学习/机器学习Key words
Chinese text classification/natural language/deep learning/machine learning分类
信息技术与安全科学引用本文复制引用
高珊,李世杰,蔡志平..基于深度学习的中文文本分类综述[J].计算机工程与科学,2024,46(4):684-692,9.
