Application Scenarios of Emotional Metaphor Computing and Emotional Intelligence Recognition in Group Mentality Management
Authors
Yi He1, *, Zhibing Zhong1, Ming Yuan1
1College of Humanities, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
*Corresponding author.
Email: 13317964@qq.com
Corresponding Author
Yi He
Available Online 7 December 2022.
- DOI
- 10.2991/978-94-6463-016-9_38How to use a DOI?
- Keywords
- Emotional metaphor calculation; Group mentality management; Public management; Development path
- Abstract
Emotional metaphor computing is a quantitative (from qualitative) analysis and calculation of emotional metaphors, which is theoretical guided by cognitive linguistics, based on the ontology of emotional vocabulary, emotional commonsense knowledge base and emotional metaphor knowledge base, and supported by machine learning, natural language processing and text mining. This paper mainly discusses the application of emotional metaphor computing in the four phases of group mentality development (possibility phase, gathering phase, development phase and forming phase), to improve the efficiency and effect of group mentality management.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yi He AU - Zhibing Zhong AU - Ming Yuan PY - 2022 DA - 2022/12/07 TI - Application Scenarios of Emotional Metaphor Computing and Emotional Intelligence Recognition in Group Mentality Management BT - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022) PB - Atlantis Press SP - 360 EP - 367 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-016-9_38 DO - 10.2991/978-94-6463-016-9_38 ID - He2022 ER -