Emoji-Dis: 一个以13种不同的情绪为特征的表情符号的数据集
Pilar Ferré1, Juan Haro2, Miguel Ángel Pérez-Sánchez3
1Universitat Rovira i Virgili, Department of Psychology and CRAMC, Tarragona, Spain. mariadelpilar.ferre@urv.cat.
Scientific data
|July 29, 2025
概括
这项研究为13个情感维度的112个表情符号提供了关键的规范性数据,包括许多积极的情绪. 此资源有助于科学研究在数字通信中使用表情符号.
科学领域:
- 心理学 心理学 心理学
- 语言学的语言学.
- 计算机科学 计算机科学
- 人与计算机的交互
背景情况:
- 表情符号是数字通信的组成部分,主要是传达情感意义.
- 对表情符号的科学研究需要强有力的规范性数据,目前这些数据有限.
- 现有的资源对于广泛的表情符号缺乏全面的情感维度.
研究的目的:
- 在13个离散的情感维度中为112个表情符号建立主观规范.
- 为研究研究表情符号语义和情感交流的研究人员提供一个有价值的数据集.
- 解决规范性数据的稀缺问题,特别是表情符号传达的积极情绪.
主要方法:
- 收集了来自763名西班牙语发言人的112种不同的表情符号的主观规范.
- 评估了13个情感维度的表情符号:愤怒,厌恶,恐惧,悲伤,焦虑,幸福,敬畏,满足,娱乐,兴奋,宁静,缓解和快乐.
- 使用标准心理测量方法与现有的表情符号和词语数据集对收集的数据进行了验证.
主要成果:
- 介绍了第一个关于表情符号的大型规范数据集,包括13个情感维度.
- 突出了对积极情绪的重大关注,反映了常见的表情符号使用.
- 该数据集包括大量表情符号的全面情感评级.
结论:
- 生成的规范性数据为表情符号研究提供了基础资源.
- 这项研究对于了解通过表情符号传达积极情感的沟通特别有价值.
- 免费使用的数据集将促进数字通信和情感科学的跨学科研究.
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