书面文本的语法复杂性作为抑郁症状的结构语言标记
Clara Khuon1, Gabriel Tillman2, George Van Doorn1
1Institute of Health and Wellbeing, Federation University, VIC, Australia; Health Innovation and Transformation Centre, Federation University, VIC, Australia.
写作中的语法复杂性可能表明抑郁症,但关联是弱的,并且根据任务而异. 将这些语言标记与其他标记结合起来,可以改善抑郁症检测.
科学领域:
- 心理语言学 心理语言学
- 计算语言学 计算语言学
- 临床心理学 临床心理学
背景情况:
- 目前用于抑郁症检测的语言分析主要集中在内容上,忽视语言结构.
- 书面文本中的语法复杂性仍然是识别抑郁症状的未经探索的领域.
研究的目的:
- 调查书面文本中的语法复杂性特征,作为抑郁症状的潜在语言标记.
- 评估语法复杂性的预测价值,用于抑郁症检测.
主要方法:
- 患有抑郁症状的成年人 (n=196) 完成了四项写作任务.
- 使用患者健康问卷-9 (PHQ-9) 测量抑郁症.
- 使用语法复杂性和复杂性的自动分析工具 (TAASSC) 提取语法特征;分析了关联和预测模型.
主要成果:
- 在PHQ-9分数和名词短语复杂性/语法复杂性之间发现了弱,负相关性.
- 语法复杂性特征解释了抑郁症状变异的~7%.
- 关键特征包括语法复杂性,名词短语复杂性和句子复杂性.
结论:
- 语法复杂性的特征显示出潜在的抑郁症语言标记.
- 协会是弱的和任务依赖的,这表明独立使用的局限性.
- 将语法复杂性与其他语言标志物的整合可能会提高抑郁症检测的准确性.
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