Research on vaccination willingness based on LDA and ISM models
Mining public opinion data from the social media platform in the information context,we try to more systematically analyze the relationship between multiple influencing factors of COVID-19 vaccination willingness.Focusing on the research problems of influencing factors of the vaccination intention of the COVID-19 vaccina-tion,we use the web crawler technology to crawl the data in the social media Twitter platform,mine the main factors affecting the vaccination intention of the new coronal vaccine with the help of the Latent Dirichlet Alloca-tion theme model,and use the Interpretive Structural Modeling Method to assist modeling,build a multi-level hi-erarchical structure model,so as to sort out and analyze the logical hierarchical relationship between the influen-cing factors.The results show that the factor set can be structurally processed through LDA and ISM models,and according to the logical structure of the ISM model,the four levels that affect the willingness to vaccinate COVID-19 vaccine are divided into the deep layer,the middle layer and the surface layer.Different levels have differ-ent degrees of influence on the willingness to vaccinate.The research results can provide corresponding decision support and reference value for improving people's willingness to accept COVID-19 vaccine and vaccination tendency.
COVID-19 vaccinationwillingness to vaccinatelatent Dirichlet allocationinterpretive structural model
万方数据
维普
