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

Natural Language Processing (899) Insomnia and Sleep Hygiene (243) Sleep Monitoring, Sleep Quality, Sleep Disorders (263) New Methods (1126) mHealth for Data Collection and Research (1190) Generative Language Models Including ChatGPT (681)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70753, first published .
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

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
Article Authors Cited by Tweetations Metrics

Yihan Deng   1, 2 , MS ;   Julia van der Meer   3 , PhD ;   Athina Tzovara   1, 4 , PhD ;   Markus Schmidt   3 , MD, PhD ;   Claudio Bassetti   3 , MD, PhD ;   Kerstin Denecke   2 , PhD

1 Institute of Computer Science, University of Bern, Bern, Switzerland

2 Institute Patient-centred Digital Health, School of Engineering and Computer Science, Bern University of Applied Sciences, Biel/Bienne, Switzerland

3 Department of Neurology, University Hospital of Bern, Bern, Switzerland

4 Center for Experimental Neurology - Sleep Wake Epilepsy Center - NeuroTec, Department of Neurology, Inselspital Bern, University Hospital, University of Bern, Bern, Switzerland

Corresponding Author: