Natural language processing for mental health interventions: a systematic review and research framework

M Malgaroli, TD Hull, JM Zech, T Althoff - Translational Psychiatry, 2023 - nature.com
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

Linguistic markers for major depressive disorder: a cross-sectional study using an automated procedure

RN Trifu, B Nemeș, DC Herta… - Frontiers in …, 2024 - frontiersin.org
Introduction The identification of language markers, referring to both form and content, for
common mental health disorders such as major depressive disorder (MDD), can facilitate …

[PDF][PDF] ARTIFICIAL INTELLIGENCE AND PSYCHOLOGY.

S Vaida - Journal of Psychology/Revista de Psihologie, 2023 - ibn.idsi.md
Artificial intelligence (AI) has been swiftly progressing and caused many changes and
improvements in various fields. Psychology is one such field deeply impacted by AI and in …

Sensory Features in Affective Analysis: A Study Based on Neural Network Models

Y Xia, Q Zhao, Y Long, G Xu - Workshop on Chinese Lexical Semantics, 2023 - Springer
This study proposes an ensemble model to incorporate sensory features of lexical items in
English from external resources into neural affective analysis frameworks. This allows the …