Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application

The study shows that automated topic modeling, combined with expert input, can effectively uncover how therapist language patterns emerge and persist across different therapeutic styles. The resulting model, made publicly available, offers broad applications in psychotherapy research, clinical supervision, and training. These findings underscore the potential of topic modeling as a valuable tool for deepening our understanding of therapist communication and advancing ML applications in psychotherapy.