用户微表情信息表征研究综述

用户微表情信息表征研究综述一文创作于：2023-08-16 04:28:42，全文字数：35982。

用户微表情信息表征研究综述

essions[J]. Journal of Zhejiang University science B， 2012， 13（3）： 221-230.

刘洋， 马莉莉， 张雯， 等.基于跨模态深度学习的旅游评论反讽识别[J]. 数据分析与知识发现， 2022， 6（12）： 23-31.

谭春辉， 陈晓琪， 梁远亮， 等.隐私泄露事件中社交媒体围观者情感分析[J]. 情报科学， 2023， 41（3）： 8-18.

作者贡献说明：

刘?0?2 洋：进行研究设计，开展实验，撰写论文；

吴?0?2 佩：开展实验，撰写论文；

万芷涵：开展实验，撰写论文；

石佳玉：开展实验，撰写论文；

朱立芳：?行研究设计，修改论文。

A Review of Information Representation of Users Micro-Expressions

Liu Yang1?0?2 Wu Pei1?0?2 Wan Zhihan1?0?2 Shi Jiayu1?0?2 Zhu Lifang2

1School of Information Management， Wuhan University， Wuhan 430072

2School of Humanities and Communication， Guangdong University of Finance and Economics， Guangzhou 510320

Abstract： [Purpose/Significance] To analyze the current status and trends of research in the field of micro-expression recognition at home and abroad， and to provide a reference for the research on micro-expression information representation of users in the field of library and intelligence. [Method/Process] The bibliometric-based research method revealed the research dynamics in the field of micro-expression recognition in the last decade， and analyzed the convergence trends， technical basis and difficult challenges of micro-expression recognition and information representation. [Result/Conclusion] Micro-expression datasets and micro-expression recognition technologies are current research hotspots; technical approaches， security ethics and database volume are major challenges for todays development; information transmission and information feedback are emerging research areas that can be developed in libraries and intelligence in the future， and areas such as meta-universe， privacy issues and technology-driven are future trends in the application of micro-expression recognition technologies.

Keywords： micro-expression recognition?0?2 ?0?2 information representation?0?2 ?0?2 information transmission?0?2 ?0?2 information feedback?0?2 ?0?2 bibliometrics

《用户微表情信息表征研究综述》在线阅读地址：用户微表情信息表征研究综述