基于提示学习混合模型的学术论文自动分类研究OACSSCICSTPCD

The classification of academic papers is of great significance in knowledge management,academic exchange,research orientation,and academic evaluation.This paper builds an automatic classification system for academic papers based on a deep learning model.Compared with existing text classification methods,this system integrates the idea of prompt learning and better bridges the gap between the pre-training model and downstream tasks.The results show that this system can better improve text classification performance and standardization level,and provides better ways for researchers to manage,utilize,and mine information.