关于注释在上下文情感图像中的可靠性
Carlos A Martínez-Miwa1, Mario Castelán2
1Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Coahuila, 25900, México.
Scientific data
|August 12, 2023
概括
用更少的类别和更多的参与者重新标记情感上下文数据显著提高了标签可靠性. 这项研究增强了对情绪识别数据库的信任.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 情绪在语境识别数据库的可靠性对于准确的AI开发至关重要.
- 现有的数据库可能需要改进,以确保高质量,可靠的注释.
研究的目的:
- 为了记录和分析情绪在语境数据库的重新标记过程.
- 通过实验设计,提高情感标签的可靠性和可信度.
主要方法:
- 组织了情绪类别,分为八个组.
- 雇佣了大量参与者进行数据注释 (平均每天28人).
- 实施Z-Score过技术和严格的实验控制每天超过13.45分钟.
主要成果:
- 弗莱斯的卡帕协议值从轻微到几乎完美不等,表明一致性有所改善.
- 重新标记过程显示了实验结果中的"连贯多样性".
- 标注可靠性受到实验设置的积极影响.
结论:
- 减少了情感类别的数量,提高了注释可靠性.
- 大量的参与者 (选民) 显著有利于标签在上下文情感图像中的可信度.
- 这些发现支持在情感计算中用于数据库注释的可扩展和可靠方法.
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