RESUMEN
Objective To analyze 10 WeChat official accounts of traditional Chinese medicine ( TCM) hospitals in Beijing and their data, to figure out the popular health topics well received by followers, for the purpose of disseminating health knowledge more precisely and efficiently in further work and public service. Methods Python and open API interface were used to scrawl the articles pushed by these accounts from July 1, 2018 to December 31, 2018, identifying topics of high Pviews and thumbs up as the text corpus of hot topics. Furthermore, working with text mining technology, the paper counted the term frequency(TF) and clustered the corpus to finally detect the most popular topics of health knowledge and needs of information by the public. Results Within the given period, the results showed that the top 5 key words with high TF in popular health science included: hypertension, cough, sleep, Gaofang( herbal paste) and pain. In the top 10 clustered hot topics, the followings received high level of public awareness and interpreted by more articles posted by the Wechat official accounts: kidney diseases, genital diseases(female/male) and seasonal affective disorder. Conclusions Methods used in the study can accurately round up popular TCM topics, practical needs of health knowledge of the people, and discover the disease diagnosis, treatment and health issues of the highest public concern, for guidance of the hospitals in their health education and popular science work using new media.