Before revision:  Third , the comparison of these models is conducted via various metrics, and this paper also discusses the optimization method of these models from the perspective of model parameters and input data structures. Finally, a set of real-world instances are studied from the perspective of analyzing changes of public opinion during different natural disasters and understanding the relationship between the same hazard and time series.
After revision:  Third , the comparison of machine learning models based on computational time and prediction accuracy is conducted. The change of public opinion during different natural disasters and understanding the relationship between the same hazard and time series.