计算机工程与应用2024，Vol.60Issue(11)：50-61,12.DOI:10.3778/j.issn.1002-8331.2310-0049
文本分类中Prompt Learning方法研究综述
Text Classification:Comprehensive Review of Prompt Learning Methods
摘要
Abstract
Text classification is a basic task in natural language processing,which has important applications in sentiment analysis,news classification and other fields.Compared with traditional machine learning and deep learning models,prompt learning can construct prompts for text classification in the case of insufficient data.In recent years,the emer-gence of GPT-3 has promoted the development of cue learning methods,and has made significant progress in the field of text classification.Firstly,this paper briefly combs the process of previous text classification methods and analyzes their existing problems and shortcomings.Secondly,it expounds the development process of cue learning and the method of constructing cue templates,and introduces and summarizes the research and results of cue learning methods for text classi-fication.Finally,the development trend and difficulties to be further studied in the field of text classification are summa-rized and prospected.关键词
提示学习/文本分类/情绪分析/新闻分类Key words
prompt learning/text classification/sentiment analysis/news classification分类
信息技术与安全科学引用本文复制引用
顾勋勋,刘建平,邢嘉璐,任海玉..文本分类中Prompt Learning方法研究综述[J].计算机工程与应用,2024,60(11):50-61,12.基金项目
宁夏重点研发计划(引才专项)项目(2022BSB03044) （引才专项）
宁夏自然科学基金(2021AAC03205) （2021AAC03205）
北方民族大学科研启动金项目(2020KYQD37). （2020KYQD37）
