Purpose/Significance To identify and analyze the emotions of users in online health communities, the paper dissects the sources of stigma and emotional reactions among users in infectious disease communities under scenarios of disease stigmatization and provides suggestions for disease treatment and psychological health maintenance. Method/Process The study crawls post data from Baidu Tieba, identifies the communication topics of community users based on the K-means clustering and the CorEx_Topic model, and conducts sentiment analysis and emotional word extraction. Result/Conclusion The public and relatives and friends will deepen the stigma of patients from both social life and daily life, resulting in three types of stigma emotion reactions:“self-inferiority and guilt”,“panic and fear” and “hopelessness and breakdown”. Additionally, advices are given from three levels: state, society and online community.