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

Research Methodology - AI (219) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3421) Research Instruments, Questionnaires, and Tools (1256) Natural Language Processing (1362) Methods and New Tools in Mental Health Research (963) Diagnostic Tools in Mental Health (462) Development and Evaluation of Research Methods, Instruments and Tools (1480) Data Science (735)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94097, first published .
Couple in therapy session with counselor taking notes

Detecting Emotional Signals of Relationship Well-Being Using AI: A Cross-Sectional Comparison of Transformer-Based and Lexicon-Based Models for Couples Therapy Research

Detecting Emotional Signals of Relationship Well-Being Using AI: A Cross-Sectional Comparison of Transformer-Based and Lexicon-Based Models for Couples Therapy Research

Authors of this article:

Alejandro Saavedra-Roa1 Author Orcid Image ;   Claudia Pineda-Marin1, 2 Author Orcid Image ;   Pablo Vallejo-Medina1 Author Orcid Image ;   Adrián Montesano1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Alejandro Saavedra-Roa   1 * , MSc ;   Claudia Pineda-Marin   1, 2 * , PhD ;   Pablo Vallejo-Medina   1 * , PhD ;   Adrián Montesano   1 * , PhD

1 Faculty of Psychology and Education Sciences, Universitat Oberta de Catalunya, Barcelona, Catalonia, Spain

2 Department of Psychology, Fundación Universitaria Konrad Lorenz, Bogotá DC, Colombia

*all authors contributed equally

Corresponding Author:

  • Adrián Montesano, PhD
  • Faculty of Psychology and Education Sciences
  • Universitat Oberta de Catalunya
  • Rambla del Poblenou, 156
  • Barcelona, Catalonia 08018
  • Spain
  • Phone: 1 934505225
  • Email: amontesano@uoc.edu