摘要
以百度知道中关于艾滋病的提问为数据基础,利用Python语言对提问内容进行词频和共词网络分析,揭示艾滋病健康信息需求5大主题,分析艾滋病健康信息用户特征,提出艾滋病健康信息传播建议,为精准推送健康信息提供参考。
Taking the questions about AIDS in Baidu Zhidao as data basis,the word frequency and co-word network of the question content are analyzed by using Python language.The paper reveals the five major topics of AIDS health information needs,analyzes the characteristics of AIDS health information users,and proposes the countermeasures for the spread of AIDS health information,so as to provide references for the accurate push of health information.
作者
刘艳丽
袁文娟
LIU Yanli;YUAN Wenjuan(Library of Hangzhou Medical School,Hangzhou 310053,China)
出处
《医学信息学杂志》
CAS
2020年第7期44-48,共5页
Journal of Medical Informatics
基金
杭州市哲学社会科学规划课题资助项目“‘双一流’战略下浙江省科研机构国际学术论文影响力评价研究”(项目编号:Z18JC072)。
