Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts.

Ranganathan Chandrasekaran,Rashi Desai,Harsh Shah,Vivek Kumar,Evangelos Moustakas

JMIR infodemiology（2022）

引用 16|浏览2

暂无评分

摘要

Identification of dominant themes, topics, sentiments, and changing trends about COVID-19 vaccination can aid governments and health care agencies to frame appropriate vaccination programs, policies, and rollouts.

查看译文

关键词

COVID-19,Twitter study,content analysis,coronavirus,infoveillance,sentiment analysis,social media,text mining,topic modeling,tweets,vaccination

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要