With the popularity of mobile devices and the advent of the Internet era, social media data has received widespread attention as a new disaster data source. Based on Twitter data, this paper constructs a research framework for storm and flood public response and disaster detection and monitors the spatio-temporal changes in public sentiment and driving factors. The following conclusions were obtained: (1) There is a strong correlation between the activity of public response to heavy rainfall and flooding on social media and the amount of rainfall, which proves the interconnectedness between the two. (2) Public sentiment changes in a "U" shape and reaches its lowest value during the most severe rainfall and flooding. (3) The public's response to heavy rainfall and flooding is concentrated around the more severely affected areas such as Sydney and the Gold Coast.
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