PsihoRo: Depression and Anxiety Romanian Text Corpus
Alexandra Ciobotaru, Ana-Maria Bucur, Liviu P. Dinu

TL;DR
PsihoRo is the first open-source Romanian corpus focused on depression and anxiety, created through open-ended questions and screening surveys, enabling NLP research on Romanian mental health.
Contribution
This paper introduces the first Romanian mental health corpus, combining open-ended responses with standardized screening tools for NLP analysis.
Findings
Statistical analysis reveals key linguistic features associated with depression and anxiety.
Text analysis using Romanian LIWC identifies emotional language patterns.
Topic modeling uncovers prevalent themes in mental health discussions.
Abstract
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…
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Taxonomy
TopicsMental Health via Writing · Sentiment Analysis and Opinion Mining · Digital Mental Health Interventions
