COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis
BackgroundVaccination is a cornerstone of the prevention of communicable infectious diseases; however, vaccines have traditionally met with public fear and hesitancy, and COVID-19 vaccines are no exception. Social media use has been demonstrated to play a role in the low acceptance of vaccines. Obje...
Saved in:
Main Authors: | Joanne Chen Lyu (Author), Eileen Le Han (Author), Garving K Luli (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2021-06-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study
by: Lyu, Joanne Chen, et al.
Published: (2021) -
Getting a Vaccine, Jab, or Vax Is More Than a Regular Expression. Comment on "COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis"
by: Jack Alexander Cummins
Published: (2022) -
Twitter Discussions on #digitaldementia: Content and Sentiment Analysis
by: Hyeongchan Cho, et al.
Published: (2024) -
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis
by: Kwok, Stephen Wai Hang, et al.
Published: (2021) -
A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis
by: Susan Park, et al.
Published: (2023)