Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25431, first published .
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Journals

  1. Liu J, Nie H, Li S, Chen X, Cao H, Ren J, Lee I, Xia F. Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution. Big Data Research 2021;25:100236 View
  2. Cuomo R, Purushothaman V, Li J, Cai M, Mackey T. A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health 2021;21(1) View
  3. Zhang X, Yang Q, Albaradei S, Lyu X, Alamro H, Salhi A, Ma C, Alshehri M, Jaber I, Tifratene F, Wang W, Gojobori T, Duarte C, Gao X. Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic. Humanities and Social Sciences Communications 2021;8(1) View
  4. Acosta M, Castillo-Sánchez G, Garcia-Zapirain B, de la Torre Díez I, Franco-Martín M. Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of COVID-19 to Improve Strategy Generation. International Journal of Environmental Research and Public Health 2021;18(12):6408 View
  5. Urrutia D, Manetti E, Williamson M, Lequy E. Overview of Canada’s Answer to the COVID-19 Pandemic’s First Wave (January–April 2020). International Journal of Environmental Research and Public Health 2021;18(13):7131 View
  6. Hu T, Wang S, Luo W, Zhang M, Huang X, Yan Y, Liu R, Ly K, Kacker V, She B, Li Z. Revealing public opinion towards COVID-19 vaccines with Twitter data in the United States: a spatiotemporal perspective (Preprint). Journal of Medical Internet Research 2021 View
  7. Alshahrani R, Babour A. An Infodemiology and Infoveillance Study on COVID-19: Analysis of Twitter and Google Trends. Sustainability 2021;13(15):8528 View
  8. Marcec R, Likic R. Using Twitter for sentiment analysis towards AstraZeneca/Oxford, Pfizer/BioNTech and Moderna COVID-19 vaccines. Postgraduate Medical Journal 2021:postgradmedj-2021-140685 View