在行为研究中基于词典的情感分析
Ian Cero1, Jiebo Luo2, John Michael Falligant3,4
1Department of Psychiatry, University of Rochester Medical Center, 300 Crittenden Blvd, Rochester, NY 14642 USA.
Perspectives on behavior science
|April 25, 2024
概括
行为分析师现在可以使用基于词典的情感分析有效地研究人类口头行为. 这种现代方法克服了传统编码系统的资源限制,使得对语言功能的更广泛的研究成为可能.
科学领域:
- 行为科学是一种行为科学.
- 心理学 心理学 心理学
- 语言学的语言学.
背景情况:
- 人类行为的全面科学需要理解口头行为.
- 当前的行为理论提供了洞察力,但由于资源密集的编码系统,缺乏广泛的研究.
- 与手动编码相关的高成本阻碍了对口头行为的研究.
研究的目的:
- 引入基于词典的情感分析,作为研究人类口头行为的有效工具.
- 为了证明情绪分析对行为分析师的有用性.
- 在行为分析框架内概述分析复杂语音模式的方法.
主要方法:
- 利用基于词汇的情感分析来研究语言产品.
- 将情感分析应用于自然发生的口头数据 (例如,社交媒体,成绩单).
- 开发处理语言复杂性的方法,如否定,刺和猜测.
主要成果:
- 情绪分析为手动编码系统提供了更现代,更有效的替代方案.
- 这种方法减少了资源强度,鼓励更多的语言行为研究.
- 这项研究为应用情绪分析在行为分析中提供了一个框架和实际例子.
结论:
- 基于词典的情感分析是一个有价值和高效的行为分析工具.
- 这种方法有助于研究复杂的语言行为和自然存在的语言.
- 拟议的方法可以激发人类行为科学的研究.
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