情感加载句子的开发和验证 情感识别工具箱 (ELSTER)
Rohit Verma1, Navkiran Kalsi2, Neha Priya Shrivastava3
1Additional Professor, All India Institute of Medical Sciences (AIIMS), New Delhi, Delhi, India.
Indian journal of psychological medicine
|May 3, 2024
概括
情感识别的情感装载句子工具箱 (ELSTER) 已被开发和验证用于评估文本情感识别. 这个工具在识别书面语言中的情绪方面显示出高可靠性.
科学领域:
- 心理学 心理学 心理学
- 语言学的语言学.
- 计算语言学 计算语言学
背景情况:
- 情感识别对于社会互动和福祉至关重要.
- 从书面语言评估情感感知是具有挑战性的.
- 现有的工具可能缺乏文化或语言特异性.
研究的目的:
- 为了开发和验证情感装载句子工具箱用于情感识别 (ELSTER).
- 创建一个可靠的衡量标准来评估从书面文本中识别情绪.
- 提供适用于印度背景的工具.
主要方法:
- 第一阶段:由25名心理健康专业人员 (MHPs) 验证英语中充满情感的句子.
- 第二阶段:开发印度语版本,在50名健康人群中对英语和印度语数据库进行验证.
- 计算了互评价协议和命中率.
主要成果:
- 在MHPs中,对于情感表达的高互评分协议 (kappa=0.67).
- 在健康人群中,整体命中率为81.43%.
- 英语和印度语句的表现类似,可靠性很好 (kappa=0.63).
结论:
- 埃尔斯特数据库是印度文本情感识别研究的验证工具.
- 它在专家和普通人中显示出高的评级者之间的可靠性.
- 埃尔斯特可以提高在书面沟通中对情感感知的研究.
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