Employing large language models for emotion detection in psychotherapy transcripts

Employing large language models for emotion detection in psychotherapy transcripts

PurposeIn the context of psychotherapy, emotions play an important role both through their association with symptom severity, as well as their effects on the therapeutic relationship. In this analysis, we aim to train a large language model (LLM) for the detection of emotions in German speech. We wa...

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Bibliographic Details
Main Authors: Christopher Lalk, Kim Targan, Tobias Steinbrenner, Jana Schaffrath, Steffen Eberhardt, Brian Schwartz, Antonia Vehlen, Wolfgang Lutz, Julian Rubel
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Psychiatry
Subjects:
natural language processing
computational psychotherapy research
machine learning
explainable artificial intelligence
symptom severity
alliance
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1504306/full
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https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1504306/full

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