Abstract

AbstractWith the continuous development of social economy in China, the sudden problems caused by social conflicts and conflicts of interest in the process of economic development often occur, which leads to the outbreak of social public opinion, which leads to the network public opinion becoming the main way for the public to choose to express their own views, and the possibility of the crisis of network public opinion is constantly improved. The sudden public crisis has a negative impact on the public, society and even the state. Therefore, this paper designs a crisis early warning model, classifies it by using support vector machine algorithm and naive Bayesian algorithm, and combines AHP and fuzzy comprehensive evaluation to carry out the network public opinion crisis warning.KeywordsMobile social platformNetwork public opinionCrisis warning

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