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

Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Mass Media/Social Media Communication and Campaigns (466) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infoveillance and Social Listening (214)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28249, first published .
Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media

Authors of this article:

Andi Muhammad Tri Sakti1, 2 Author Orcid Image ;   Emma Mohamad1, 2 Author Orcid Image ;   Arina Anis Azlan1, 2 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

Andi Muhammad Tri Sakti   1, 2 , MSSc ;   Emma Mohamad   1, 2 , PhD ;   Arina Anis Azlan   1, 2 , PhD

1 Centre for Research in Media and Communication, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia

2 UKM x UNICEF Communication for Development Centre in Health, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia

Corresponding Author:

  • Arina Anis Azlan, PhD
  • Centre for Research in Media and Communication
  • Faculty of Social Sciences and Humanities
  • Universiti Kebangsaan Malaysia
  • UKM Bangi
  • Bangi, 43600
  • Malaysia
  • Phone: 60 0123065261
  • Email: arina@ukm.edu.my