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Author

C. Oetzmann

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Open access Sep 2026

Multilingual lexical feature analysis of spoken language for predicting major depression symptom severity.

Depression symptom severity was associated with five lexical features, including reductions in word count measures, use of first-person plural pronouns and positive word frequency, andLexical features and vector embeddings did improve prediction accuracy beyond baseline models.

A. Tokareva, J. Dineley, Z. Firth et al. · 0 citations
#machine learning Nov 2025

Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity

Depression symptom severity was associated with five lexical features, including reductions in word count measures, use of first-person plural pronouns and positive word frequency, andLexical features and vector embeddings did improve prediction accuracy beyond baseline models.

A. Tokareva, J. Dineley, Z. Firth et al. · 0 citations

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