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

Natural Language Processing (1256) New Methods (1771) mHealth for Data Collection and Research (1703) Insomnia and Sleep Hygiene (308) Sleep Monitoring, Sleep Quality, Sleep Disorders (342) Generative Language Models Including ChatGPT (1467)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70753, first published .
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Analyzing Sleep Behavior Using BERT-BiLSTM and Fine-Tuned GPT-2 Sentiment Classification: Comparison Study

Analyzing Sleep Behavior Using BERT-BiLSTM and Fine-Tuned GPT-2 Sentiment Classification: Comparison Study

Authors of this article:

Yihan Deng1, 2 Author Orcid Image ;   Julia van der Meer3 Author Orcid Image ;   Athina Tzovara1, 4 Author Orcid Image ;   Markus Schmidt3 Author Orcid Image ;   Claudio Bassetti3 Author Orcid Image ;   Kerstin Denecke2 Author Orcid Image
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Journals

  1. Dai D, Xie F, Cui J, Wang S, Cai J, Yao F, Wang G. Human-Centered AI in Sleep Health Management: Scoping Review of Stakeholder Perspectives and Co-Design Practices. Journal of Medical Internet Research 2026;28:e93779 View