Before revision:  First, this paper implements Python in grasping Twitter data, and then, we assess public perceptron quantitatively by these opinioned texts ,  which contain information like the demand for targeted relief supplies, satisfactions of disaster response and fear of the public .
After revision:  First, this paper implements Python in grasping Twitter data, and then, we assess public perceptron quantitatively by these opinioned texts , 993 tweets. In this paper, public perception is assessed qualitatively by manually classified tweets, which contain information like the demand for targeted relief supplies, satisfactions of disaster response and fear of the public .