西华大学学报（自然科学版）2026，Vol.45Issue(1)：1-19,19.DOI:10.12198/j.issn.1673-159X.6109
社交网络舆情中伪匿情绪及意图语义理解研究综述
Survey on Semantic Understanding of False-Concealment Emotion and Intentions in Social Network Public Opinion
摘要
Abstract
Affective computing is an important research direction in the future field of artificial intelli-gence.Although large language models(LLMs)have solved many problems in natural language processing,there remains a significant gap in understanding human emotions.False-concealment emotions are one of the aspects of fine-grained sentiment analysis.In the context of big data on social network public opinion,users with false-concealment emotions often conceal their true intentions,and these users play a role in amplifying the development of public opinion.Discovering false-concealment emotions and understanding their intentions hold significant scientific importance and practical value for accurately grasping the evolu-tion of public opinion and controlling its direction.The main contributions of this paper are as follows:starting from an analysis of the phenomenon of pseudo-concealment emotions in the context of social net-works,we define false-concealment emotions;based on Ekman's six basic emotions theory,we establish a formal model of false-concealment emotions;we explore the key challenges in identifying false-conceal-ment emotions and discovering their intentions;we review prior research on false-concealment emotions;and we outline the main future research directions for false-concealment emotions in the field of artificial intelligence.关键词
伪匿情绪/社交网络/意图理解/情绪模型/网络舆情Key words
false-concealment emotion/social network/intention understanding/emotion model/online public opinions分类
信息技术与安全科学引用本文复制引用
DU Yajun,LIU Jia,LI Yanli,YANG Shun,ZHANG Wanjie,LI Xianyong,CHEN Xiaoliang..社交网络舆情中伪匿情绪及意图语义理解研究综述[J].西华大学学报（自然科学版）,2026,45(1):1-19,19.基金项目
国家自然科学基金项目(62576287、62507039、62402395). （62576287、62507039、62402395）
