depression detection

2 items

RESEARCHarXiv CS.CL·4/9/2026

Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters

Esta pesquisa explora a detecção automatizada de depressão em consultas de atenção primária, analisando sinais linguísticos de áudios gravados. O estudo compara modelos de IA como GPT-OSS, Sentence-BERT e LIWC+LR, destacando o melhor desempenho do GPT-OSS e a importância das transcrições conjuntas entre médico e paciente.

depression detection Primary Care Machine Learning NLP

RESEARCHarXiv CS.CL·8d ago

Cognitive-Linguistic Indicators of Depression in Online Communities: Analysed by DistilBERT and Holographic Reduced Representation

This paper investigates whether combining cognitively grounded linguistic features with transformer-based embeddings improves automated detection of depression in online text. The study compares a TF-IDF baseline model with a hybrid DistilBERT HRR model, showing the latter achieves a significantly higher macro F1 score of 0.94.

online-communities depression detection Machine Learning Natural Language Processing