语言指标与用于研究情感的其他指标相关
Shaina Munin1, Desmond C Ong1, Sydney Okland1
1Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
Communications psychology
|February 22, 2025
概括
语言指标,特别是评估价值的指标,与观察者和自我报告的情感相关. 这表明,当其他方法不切实际时,语言可以成为情感研究的宝贵工具.
科学领域:
- 心理学 心理学 心理学
- 语言学的语言学.
- 情感科学是一种情感科学.
背景情况:
- 语言分析越来越多地用于研究情感.
- 以前的研究主要集中在语言和自我报告的相关性上.
- 语言与其他情感指标之间的关系仍然不太了解.
研究的目的:
- 研究语言指标与更广泛的情感指标之间的关联.
- 通过各种已建立的语言词典来检查这些关联.
- 为了确定这些关系在多式联运数据集中的一致性.
主要方法:
- 分析了三个大型多式联运数据集,参与者数量和文本长度各不相同.
- 测试语言衍生情绪 (价值和离散情绪) 与自我报告,观察者报告,面部暗示和声音暗示之间的关联.
- 在多个词典 (LIWC-22,NRC,Lexical Suite,ANEW,VADER) 中比较结果.
主要成果:
- 跨数据集的语言指标与观察者和自我报告指标一致相关.
- 在语言测量价值和面部暗示之间发现了显著的关联,但不是离散的情绪.
- 语言测量并不总是与语音线索相关联.
- 词典的选择没有显著影响观察到的关联.
结论:
- 语言测量,特别是那些表明价值的测量,与其他多种情感评估方法显示强大的相关性.
- 语言分析为情感研究提供了一种可行的和实用的方法,特别是当其他数据模式有限时.
- 研究人员可以自信地使用语言分析来研究情感,补充或取代传统方法.
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