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Neural Topic Modeling of Psychotherapy Sessions

arXiv 2204.10189 ↗First posted 13 Apr 2022cs.CL cs.AI cs.HCcited by 13

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Abstract (arXiv)

In this work, we compare different neural topic modeling methods in learning the topical propensities of different psychiatric conditions from the psychotherapy session transcripts parsed from speech recordings. We also incorporate temporal modeling to put this additional interpretability to action by parsing out topic similarities as a time series in a turn-level resolution. We believe this topic modeling framework can offer interpretable insights for the therapist to optimally decide his or her strategy and improve psychotherapy effectiveness.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 12 of its 28 references that are in the map. First posted on arXiv 13 Apr 2022.

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12 of 28 references.

References · 12

  1. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  2. 2019Topic Modeling in Embedding Spacescited by 224
  3. 2015Neural Variational Inference for Text Processingcited by 111
  4. 2018From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbotscited by 85
  5. 2017Discovering Discrete Latent Topics with Neural Variational Inferencecited by 79
  6. 2019Topic Modeling with Wasserstein Autoencoderscited by 53
  7. 2020Neural Topic Modeling with Bidirectional Adversarial Trainingcited by 29
  8. 2022Deep Annotation of Therapeutic Working Alliance in Psychotherapycited by 14
  9. 2019A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatrycited by 13
  10. 2020Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RLcited by 11
  11. 2020Predicting human decision making in psychological tasks with recurrent neural networkscited by 11
  12. 2019Split Q Learning: Reinforcement Learning with Two-Stream Rewardscited by 8

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Citing papers per year: 2022: 5; 2023: 5; 2024: 1; 2025: 2.

13 papers.

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  1. 2023Towards Healthy AI: Large Language Models Need Therapists Toocited by 13
  2. 2022Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlookcited by 10
  3. 2022Working Alliance Transformer for Psychotherapy Dialogue Classificationcited by 9
  4. 2022SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learningcited by 8
  5. 2024COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modelingcited by 8
  6. 2022Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlookcited by 7
  7. 2023Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamicscited by 6
  8. 2022Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerationscited by 4
  9. 2023Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosiscited by 4
  10. 2023TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Artscited by 3
  11. 2025Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elementscited by 3
  12. 2023Discovering Mental Health Research Topics with Topic Modelingcited by 2
1 more
  1. 2025Word Clouds as Common Voices: LLM-Assisted Visualization of Participant-Weighted Themes in Qualitative Interviewscited by 0