ArticleAdministration and policy in mental health2024
Measuring Alliance and Symptom Severity in Psychotherapy Transcripts Using Bert Topic Modeling.
Article in Administration and policy in mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Utilizing BERTopic modeling for concept discovery in the domain of gerotranscendence and solitude.Journal of biomedical semantics · 2026Article
- Negative and Positive Body-Related Emotions Derived From Voice Recordings During a Mirror Task in Anorexia and Bulimia Nervosa: A Natural Language Processing Approach Using RoBERTa.The International journal of eating disorders · 2026Article
- [Therapist augmentation by generative AI: concept and implementation of the GAINED feedback system at Osnabrück University].Psychotherapie (Heidelberg, Germany) · 2026Article
- Digital Therapeutics and Blended Care in Major Depressive Disorder: Current Evidence and Future Directions.Advances in experimental medicine and biology · 2026Review
- Exploring negative experiences in psychotherapy using an NLP approach on online forum data.Npj mental health research · 2025Article
- Utilizing BERTopic Modeling for Concept Discovery in the Domain of Gerotranscendence and Solitude.Research square · 2025Article
- Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions.Scientific reports · 2025Article
- Employing large language models for emotion detection in psychotherapy transcripts.Frontiers in psychiatry · 2025Article
- Identifying Yalom's group therapeutic factors in anonymous mental health discussions on Reddit: a mixed-methods analysis using large language models, topic modeling and human supervision.Frontiers in psychiatry · 2025Article
- Psychotherapist remarks' ML classifier: insights from LLM and topic modeling application.Frontiers in psychiatry · 2025Article
- Topic identification and content analysis of internet medical policies under the background of Healthy China 2030.Health research policy and systems · 2024Article
- Introduction to the Special Issue: Technological Applications in Mental Health and Mental Health Services Research.Administration and policy in mental health · 2024Article
- Working alliance and its link to guidance in an internet-based intervention for depressive disorders: a secondary analysis of a randomized controlled trial.Frontiers in psychiatry · 2024Article
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Authors and funding
10 authors.
Funding
Abstract
We aim to use topic modeling, an approach for discovering clusters of related words ("topics"), to predict symptom severity and therapeutic alliance in psychotherapy transcripts, while also identifying the most important topics and overarching themes for prediction. We analyzed 552 psychotherapy transcripts from 124 patients. Using BERTopic (Grootendorst, 2022), we extracted 250 topics each for patient and therapist speech. These topics were used to predict symptom severity and alliance with various competing machine-learning methods. Sensitivity analyses were calculated for a model based on 50 topics, LDA-based topic modeling, and a bigram model. Additionally, we grouped topics into themes using qualitative analysis and identified key topics and themes with eXplainable Artificial Intelligence (XAI). Symptom severity could be predicted with highest accuracy by patient topics (
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