Abstract: 【Purpose/significance】Through the mining of Weibo data,we can understand the public's attitudes and needs,and provide a certain reference for the follow-up promotion of COVID-19 vaccines or the promotion of other vaccines.【Method/process】Based on the content analysis method,564 Weibo hot search terms were coded and classified,and 10 topics of widespread public concern were obtained.The BTM and association rules are combined to further mine the tweets and comments under the hot search terms contained in the topic,in order to understand the public's attitude and needs in more detail.【Result/conclusion】The public's attitude towards COVID-19 vaccines of China is generally positive.The public's most concerned problems are the adverse reactions,vaccination taboos and protective effects of COVID-19 vaccines【. Innovation/limitation】The innovation of this research is to analyze the public's attitude
and demand for COVID-19 vaccines through the topic discovery research of hot search data on the Weibo platform.