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

Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Mass Media/Social Media Communication and Campaigns (461) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance and Social Listening (209)

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

Journals

  1. MauliIna N, Fajri N, Indah R, Adella S, Rahman A, Idris Y, Haridhi H, Muksin , Meilianda E, Musa T, Rusydy I, Suppasri A, Mas E, Opdyke A. Community’s knowledge, attitude, and misperception towards COVID-19: a future demand to prevent advanced wave of pandemic. E3S Web of Conferences 2022;340:05011 View
  2. Ju W, Sannusi S, Mohamad E. Stigmatizing Monkeypox and COVID-19: A Comparative Framing Study of The Washington Post’s Online News. International Journal of Environmental Research and Public Health 2023;20(4):3347 View
  3. Martínez de la Torre C, Córcoles García S, Bernad Carbonell F, Navarro Plaza E, Córcoles García M, Llano Gómez C. Actitudes y opiniones de la población adolescente sobre las recomendaciones de protección de la salud frente a la COVID-19. Revista Clínica de Medicina de Familia 2022:147 View
  4. Chiang Y, Chu M, Lin S, Cai X, Chen Q, Wang H, Li A, Rui J, Zhang X, Xie F, Lee C, Chen T. Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China. Frontiers in Psychology 2021;12 View
  5. Jiang H, Castellanos A, Castillo A, Gomes P, Li J, VanderMeer D. Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions. JMIR Nursing 2023;6:e40676 View
  6. Ye Z, Li R, Wu J. Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment. International Journal of Environmental Research and Public Health 2022;19(12):7045 View
  7. Ueda M, Watanabe K, Sueki H. Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm. Journal of Medical Internet Research 2023;25:e44965 View
  8. Sun J, Zeng Z, Li T, Sun S. Analyzing the spatiotemporal coupling relationship between public opinion and the epidemic during COVID-19. Library Hi Tech 2024;42(6):1880 View
  9. Deori M, Nisha F, Verma N, Verma M. Consumption Patterns of Female Lifestyle Influencers During Covid-19 Pandemic: A Thematic Sentiment Analysis Based on the Comments of Selected YouTube Videos. Journal of Creative Communications 2023:097325862311684 View
  10. Liu M, Yuan S, Li B, Zhang Y, Liu J, Guan C, Chen Q, Ruan J, Xie L. Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis. Journal of Medical Internet Research 2024;26:e58518 View

Books/Policy Documents

  1. Zhang W, Yang N, Li C, Li J. E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future. View