Research on the model of network public opinion pre-warning system for emergencies under the background of big data

Abstract

At present, emergencies occur frequently. How to better adapt to the changes brought by big data in the analysis of network public opinion for emergencies is an important issue of emergency management in the era of big data. In this paper, combining the actual needs and the shortcomings of the existing public opinion pre-warning system, data mining technology, emotion computing technology and artificial intelligence methods are introduced into network public opinion pre-warning system, build a network public opinion pre-warning system model based on Hadoop big data architecture, which includes four layers: public opinion data collection layer, data preprocessing layer, public opinion analysis layer, public opinion pre-warning and decision support layer. The model integrates the important functions of the whole process of network public opinion analysis and pre-warning, in order to provide accurate pre-warning information and scientific auxiliary decision-making scheme for emergency management.