#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.
· arXiv.org · 0 citations