Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33314, first published .
Public Perception of the Use of Digital Contact-Tracing Tools After the COVID-19 Lockdown: Sentiment Analysis and Opinion Mining

Public Perception of the Use of Digital Contact-Tracing Tools After the COVID-19 Lockdown: Sentiment Analysis and Opinion Mining

Public Perception of the Use of Digital Contact-Tracing Tools After the COVID-19 Lockdown: Sentiment Analysis and Opinion Mining

Journals

  1. Pucci F, Fedele P, Dimitri G. Speech emotion recognition with artificial intelligence for contact tracing in the COVID‐19 pandemic. Cognitive Computation and Systems 2023;5(1):71 View
  2. Irwin N, Aisyah D, Rahman F, Manikam L. Digital contact tracing technology in the COVID-19 pandemic: a systematic review. Health and Technology 2024;14(6):1229 View
  3. Li D, Zhao Y, Zhou S, Ng S. Social media data-based spatio-temporal assessment of public attitudes towards digital contact tracing applications: A case of health code application in mainland China. Technological Forecasting and Social Change 2024;209:123775 View
  4. Jerfy A, Selden O, Balkrishnan R. The Growing Impact of Natural Language Processing in Healthcare and Public Health. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  5. Pigera S, van Schaik P, Renaud K, Campbell M, Manley P, Esser P. Privacy and Security in Digital Health Contact-Tracing: A Narrative Review. Applied Sciences 2025;15(2):865 View

Conference Proceedings

  1. Kumar V, Vindhya A. 2022 5th International Conference on Contemporary Computing and Informatics (IC3I). An Improved Accuracy in Anticipating the User Nature using a novel logistic regression algorithm throughout the pandemic across online social media based on Indian metrics over Support Vector Clustering Algorithm View