Abstract: 【Purpose/significance】The rise of short video platform makes the bullet chat important carrier of public emotional commu?
nication. The construction of bullet chat emotion warning mechanism will help to better grasp the situation of public opinion.【Method/process】Based on the interactive ritual chain theory, the Bilibili video interactive ritual model is established, and a user emotion warn? ing mechanism is constructed. EGM-Markov-Fisher model is constructed. The prediction accuracy of the model is compared with that of EGM (1,1) and EGM Markov model to achieve more accurate public emotion risk warning. Based on the prediction threshold and combined with the grey correlation analysis method, an emotion warning classification scheme is proposed. Finally, the mechanism is tested by crawling the public opinion event data of Bilibili website.【Result/conclusion】EGM-Markov-Fisher model has the highest prediction accuracy and has good applicability in emotion monitoring and early warning. The improved classification method combined with grey correlation analysis is reliable, which provides a reference for improving user emotional interaction experience and effective governance of public opinion【. Innovation/limitation】It explores the relationship between the bullet screen and the realization of emo? tional early warning in the interactive ceremony of short video platform, optimizes the warning model, and can refine the research ac? cording to the characteristics of users.