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

Early Results from COVID-19 Studies (309) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (386) Infectious Diseases (non-STD/STI) (1592) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) Infodemiology and Infoveillance (1369) Mental Health Surveillance and Epidemiology (64) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Outbreak and Pandemic Preparedness and Management (1743)

Published on in Vol 5, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27741, first published .
Emotional Analysis of Twitter Posts During the First Phase of the COVID-19 Pandemic in Greece: Infoveillance Study

Emotional Analysis of Twitter Posts During the First Phase of the COVID-19 Pandemic in Greece: Infoveillance Study

Emotional Analysis of Twitter Posts During the First Phase of the COVID-19 Pandemic in Greece: Infoveillance Study

Authors of this article:

Styliani Geronikolou1, 2 Author Orcid Image ;   George Drosatos3 Author Orcid Image ;   George Chrousos2 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

Journals

  1. Ruiz-Núñez C, Herrera-Peco I, Campos-Soler S, Carmona-Pestaña Á, Benítez de Gracia E, Peña Deudero J, García-Notario A. Sentiment Analysis on Twitter: Role of Healthcare Professionals in the Global Conversation during the AstraZeneca Vaccine Suspension. International Journal of Environmental Research and Public Health 2023;20(3):2225 View
  2. Wang X, He R. Supporting Vaccination on TikTok During the COVID-19 Pandemic: Vaccine Beliefs, Emotions, and Comments. Frontiers in Psychology 2022;13 View
  3. Chen S, Yin S, Guo Y, Ge Y, Janies D, Dulin M, Brown C, Robinson P, Zhang D. Content and sentiment surveillance (CSI): A critical component for modeling modern epidemics. Frontiers in Public Health 2023;11 View
  4. Mentis A, Lee D, Roussos P. Applications of artificial intelligence−machine learning for detection of stress: a critical overview. Molecular Psychiatry 2024;29(6):1882 View
  5. Amiri M, Yaghtin M, Sotudeh H. How do tweeters feel about scientific misinformation: an infoveillance sentiment analysis of tweets on retraction notices and retracted papers. Scientometrics 2024;129(1):261 View
  6. Skarpelos Y, Messini S, Roinioti E, Karpouzis K, Kaperonis S, Marazoti M. Emotions during the Pandemic’s First Wave: The Case of Greek Tweets. Digital 2024;4(1):126 View