CN-VEFD:中国ESG报告的视觉情感特征数据集
Zhao Duan1, Yitong Xu1, Binglong Xia1
1School of Information Management, Central China Normal University, Wuhan 430079, China.
Data in brief
|December 17, 2025
概括
这项研究介绍了CN-VEFD,这是来自中国ESG报告的视觉情感特征数据集. 它可以分析企业披露中的图像如何影响利益相关者的看法.
科学领域:
- 环境,社会和治理 (ESG) 报告.
- 企业金融公司财务
- 计算机视觉 计算机视觉
背景情况:
- 利益相关者的感知受到ESG报告中的视觉元素的影响,但研究往往忽视了视觉情感.
- 现有的研究主要侧重于文本分析,在理解视觉线索的影响方面存在差距.
研究的目的:
- 介绍CN-VEFD,这是来自中国ESG报告的视觉情感特征的综合数据集.
- 为了使系统研究ESG披露和企业治理中的视觉情感信号之间的关系.
- 为了促进探索视觉元素如何影响利益相关者的反应.
主要方法:
- 从13481份中国上市公司的ESG报告 (2006-2023) 中开发了CN-VEFD.
- 从399,321张图像中提取了59个结构化的视觉情感特征,涵盖了颜色,构成和面部情感.
- 使用自动化管道集成色彩分析,突出检测和面部情绪识别的量化功能.
主要成果:
- 创建了一个大规模的数据集 (CN-VEFD) 包含66个字段,将399,321个图像与ESG报告和企业联系起来.
- 数据集捕捉了色彩,构成和面部维度的视觉情绪.
- 功能是系统地量化为广泛适用性.
结论:
- CN-VEFD为视觉分析,情感识别和行为金融研究提供了宝贵的资源.
- 该数据集支持ESG披露中的视觉情感信号的调查.
- 能够更深入地了解企业视觉沟通与利益相关者参与之间的相互作用.
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