Research on the Analysis Method of User Emotional Spatiotemporal Evolution in Short Video Related to Sudden Natural Disaster Events
[Purpose/Significance]Accurately and effectively revealing the emotional evolution characteristics and patterns of short video users in sudden natural disaster events is of great significance for related research and practice,such as online public opinion monitoring and short video governance.[Method/Process]First,the LSTM model was used for emotional calculation of short video users.Then,an emotional interaction index for short video users in sudden natural disasters was designed to analyze the degree of emotional interaction among short video users.Finally,time series and visualization methods were comprehensively adopted to reveal the temporal and geo-graphic spatial evolution characteristics and patterns of short video user emotions.[Result/Conclusion]Empirical analysis of 15 sudden natural disaster events in China reveals the spatiotemporal evolution characteristics of short video user emotions.The initial emotions of short video users in different sudden natural disaster events are affected by the severity of the event.The emotional temporal evolution of short video users in different sudden natural disas-ter events is affected by their daily routines,and a positive correlation exists between short video user emotions and geographic space in different sudden natural disaster events.These findings verify the feasibility and effectiveness of the proposed method in this paper.
万方数据
维普
