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arXiv 2602.18324cs.CL

PsihoRo:罗马尼亚语抑郁症和焦虑文本语料库

PsihoRo: Depression and Anxiety Romanian Text Corpus

Alexandra Ciobotaru, Ana-Maria Bucur, Liviu P. Dinu

AI总结:

PsihoRo语料库是首个公开的罗马尼亚语抑郁症和焦虑文本数据集,通过开放性问题和标准化筛查问卷收集,为自然语言处理社区提供了研究心理健康问题的重要资源。

摘要:

心理语料库在自然语言处理中是用于分析人类心理、情绪和心理健康的一类文本集合。这些文本允许研究者研究心理构念,识别与心理健康问题相关的模式,并分析情感语言。然而,从社交媒体收集准确的心理健康数据可能具有挑战性,因为数据收集者会做出一些假设。更有效的方法是通过开放性问题收集数据,然后使用自我报告筛查量表评估受试者的心理健康状况。这种方法在英语中被成功应用,英语拥有大量心理自然语言处理资源。然而,对于罗马尼亚语,这一情况并不成立,目前没有开源的心理健康语料库。为了解决这一缺口,我们通过6个开放性问题的问卷以及标准化的PHQ-9和GAD-7筛查问卷收集了第一个开源的罗马尼亚语抑郁症和焦虑语料库。尽管PsihoRo语料库仅包含205名受试者的文本,但它代表了在罗马尼亚人口中理解和分析心理健康问题的重要第一步。我们采用统计分析、使用罗马尼亚LIWC进行的文本分析、情绪检测和主题建模来识别该新资源对自然语言处理社区最重要的特征。数据在https://huggingface.co/datasets/Alegzandra/PsihoRo公开可用。

英文摘要:

Psychological corpora in NLP are collections of texts used to analyze human psychology, emotions, and mental health. These texts allow researchers to study psychological constructs, identify patterns related to mental health problems and analyze emotional language. However, collecting accurate mental health data from social media can be challenging due to the assumptions made by data collectors. A more effective approach involves gathering data through open-ended questions and then assessing participants' mental health status using self-report screening surveys. This method was successfully employed for English, a language with a lot of psychological NLP resources. However, the same cannot be stated for Romanian, which currently has no open-source mental health corpus. To address this gap, we have collected the first open-source corpus focused on depression and anxiety in Romanian, by utilizing a form with 6 open-ended questions along with the standardized PHQ-9 and GAD-7 screening questionnaires. Although the PsihoRo corpus contains texts from only 205 respondents, it represents an important first step toward understanding and analyzing mental health issues within the Romanian population. We employ statistical analysis, text analysis using Romanian LIWC, emotion detection, and topic modeling to identify the most important features of this newly introduced resource for the NLP community. The data is publicly available at https://huggingface.co/datasets/Alegzandra/PsihoRo.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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