Thematic Evolution of Health Information Needs in the Elderly Based on BERTopic Model
[Purpose/significance]The BERTopic model can realize the topic mining of the elderly's health information needs and pro-vide a basis for medical institutions and relevant government departments to carry out health information services.[Method/process]This study takes microblog data related to the health of the elderly in Sina Weibo platform as the research object,extracts the demand topic through BERTopic model,and analyzes the evolution of the health information needs of the elderly in combination with Maslow's hierarchy of needs theory to reveal the distribution characteristics of the topic content related to the health of the elderly in social me-dia.And further explore the time evolution path of the health information needs of the elderly,in order to meet the health information needs of the elderly to give more attention and support.[Result/conclusion]The results show that the health information needs of the elderly cover 11 topics,including property safety,epidemic prevention and control,diet and digestion,COVID-19,medical treatment,climate impact,bone health,social care,health knowledge,technology to help the elderly and visual disorders.Thematic evolution is associated with public health emergencies and has temporal characteristics.[Innovation/limitation]In this study,the BERTopic model was combined with the data of Sina Weibo platform to explore the health information needs of the elderly.In the future,it is ex-pected to further explore the specific direction of health information needs of the elderly from multiple data sources.
the elderlyhealth information needstheme evolutionBERTopic modeltextual data mining
NETL
NSTL
万方数据
