Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63962, first published .
Emotion Forecasting: A Transformer-Based Approach

Emotion Forecasting: A Transformer-Based Approach

Emotion Forecasting: A Transformer-Based Approach

Journals

  1. Kerna N, Boulos A, Abreu M, Chigozie I, Fide-Nwoko F, Arube E, Eziechi E, Holets H, Pruitt K, Jomsky B, Chawla S. Current Applications of Artificial Intelligence in Psychiatry. Scientia. Technology, Science and Society 2025;2(4):125 View
  2. Wang P, Liu H, Shi Y, Liu A, Zhu Q, Albu I, Pacholec M, Cheng L, Sun X, Chi X. Harnessing Small‐Data Machine Learning for Transformative Mental Health Forecasting: Towards Precision Psychiatry With Personalised Digital Phenotyping. Med Research 2025;1(2):226 View
  3. Li F, Zhang D. Multimodal physiological signals from wearable sensors for affective computing: A systematic review. Intelligent Sports and Health 2025;1(4):210 View
  4. Dubey P, Dubey P, Zakariah M, Almazyad A, Alsekait D. TRANSHEALTH: A Transformer-BDI Hybrid Framework for Real-Time Psychological Distress Detection in Ambient Healthcare. Computers, Materials & Continua 2025;0(0):1 View
  5. Alghamdi T, Alotaibi S, Alharthi R. Textual emotion recognition to improve real-time communication of disabled people in sustainable environments using an ensemble deep learning approach. Scientific Reports 2025;15(1) View