计算机应用研究2024，Vol.41Issue(11)：3201-3214,14.DOI:10.19734/j.issn.1001-3695.2024.01.0043
面向社会媒体的立场检测研究综述
Review of research on stance detection in social media
摘要
Abstract
With the continuous development of the Internet,people widely use social media platforms such as Weibo and Twit-ter,resulting in a huge amount of user generated content every day.It is important to analyze the user's attitude based on the user generated content for hot/focused topics as it can help relevant stakeholders make informed decisions.Therefore,the goal of the stance detection task is to determine the user's stance(favor/against/neutral)on the target according to the specified target and the given content.This paper described the stance detection tasks,applications,related data resources and related works.For stance detection tasks,in addition to the previous single/multiple/cross target stance detection tasks,this paper al-so organized the works related to zero/small sample stance detection.For data resources,this paper gave a detailed introduc-tion to the data resources published in recent years.For stance detection methods,in addition to traditional machine learning methods,neural networks and other methods,this paper also sorted out the methods based on the pre training model.Finally,it summarized the development status of stance detection,and looked forward to the possible research hotspots in the future.关键词
目标/立场/立场检测/零/少样本立场检测/预训练模型Key words
target/stance/stance detection/zero/few-shot stance detection/pre-trained model分类
信息技术与安全科学引用本文复制引用
赵小兵,尹召宁,王子豪,张袁硕,陈波..面向社会媒体的立场检测研究综述[J].计算机应用研究,2024,41(11):3201-3214,14.基金项目
国家社会科学基金重大项目(22&ZD035) （22&ZD035）
国家语委资助项目(ZDI145-61) （ZDI145-61）
