Cargando…
Comparison of Impressions of COVID-19 Vaccination and Influenza Vaccination in Japan by Analyzing Social Media Using Text Mining
The aim of this study was to compare impressions of COVID-19 vaccination and influenza vaccination in Japan by analyzing social media (Twitter(®)) using a text-mining method. We obtained 10,000 tweets using the keywords “corona vaccine” and “influenza vaccine” on 15 December 2022 and 19 February 202...
Autores principales: | Mori, Yoshiro, Miyatake, Nobuyuki, Suzuki, Hiromi, Mori, Yuka, Okada, Setsuo, Tanimoto, Kiyotaka |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458112/ https://www.ncbi.nlm.nih.gov/pubmed/37631895 http://dx.doi.org/10.3390/vaccines11081327 |
Ejemplares similares
-
Pre-Impressions of the Third COVID-19 Vaccination among Medical Staff: A Text Mining-Based Survey
por: Mori, Yoshiro, et al.
Publicado: (2022) -
A Text Mining-Based Survey of Pre-Impressions of Medical Staff toward COVID-19 Vaccination in a Designated Medical Institution for Class II Infectious Diseases
por: Mori, Yoshiro, et al.
Publicado: (2021) -
Relationship between the Number of Deaths Due to Renal Failure and Air Temperature Parameters in Hokkaido and Okinawa Prefectures, Japan
por: Mori, Yoshiro, et al.
Publicado: (2021) -
Use of Complementary and Alternative Medicine and Its Relationship with Health-Related Quality of Life (HRQOL) in Patients with Type 2 Diabetes Mellitus
por: Mori, Yoshiro, et al.
Publicado: (2023) -
Text Mining Approaches to Analyze Public Sentiment Changes Regarding COVID-19 Vaccines on Social Media in Korea
por: Shim, Jae-Geum, et al.
Publicado: (2021)