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This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1441) Natural Language Processing (1343) Chatbots and Conversational Agents (1248) Artificial Intelligence (5056) Data Science (729) Generative Language Models Including ChatGPT (1648) Applications of AI (1102) Theme Issue 2025: AI-Powered Therapy Bots and Virtual Companions in Digital Mental Health (88)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78082, first published .
Therapy sessions shown in a grid: couples counseling, individual therapy, and group sessions.

Preprocessing Large-Scale Conversational Datasets: A Framework and Its Application to Behavioral Health Transcripts

Preprocessing Large-Scale Conversational Datasets: A Framework and Its Application to Behavioral Health Transcripts

Authors of this article:

Paz Mor Naim1 Author Orcid Image ;   Shiri Sadeh-Sharvit2, 3 Author Orcid Image ;   Samuel Jefroykin2 Author Orcid Image ;   Eddie Silber2, 3 Author Orcid Image ;   Dennis P Morrison4 Author Orcid Image ;   Ariel Goldstein1, 5, 6 Author Orcid Image
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Journals

  1. Han J, So B, Jung W, Kim M, Kim H, Shin D. Optimizing Small Local Language Models for Culturally Competent Mental Health Counseling: Comparative Evaluation With GPT-4o by Psychiatrists. JMIR AI 2026;5:e92470 View