Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41517, first published .
Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

Journals

  1. Tan K, Lee C, Lim K. A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research. Applied Sciences 2023;13(7):4550 View
  2. Swanson K, Ravi A, Saleh S, Weia B, Pleasants E, Arvisais-Anhalt S. Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis. Journal of Medical Internet Research 2023;25:e46655 View
  3. Shah H, Househ M. Mapping loneliness through social intelligence analysis: a step towards creating global loneliness map. BMJ Health & Care Informatics 2023;30(1):e100728 View
  4. Shah H, Agus M, Househ M. Sentiment visualization of correlation of loneliness mapped through social intelligence analysis. Computer Methods and Programs in Biomedicine Update 2024;5:100144 View