Author(s)

Abu Xiong

Corresponding Author

Abu Xiong

Abstract

In response to the lag in handling online public opinions in universities and the insufficiency of decision-making scientificity, based on theories such as computer networks, complex social networks, and risk management, an intelligent analysis method combining content, relationship, and emotion analysis was adopted. Combined with qualitative and quantitative analysis, the causes of the generation and evolution of public opinions were analyzed. Three types of models were established: latent-negotiation node risk identification, trigger-evolution node information assessment, and evolution-dissipation node situation intervention. Risk identification, dynamic assessment, and situation intervention strategies were proposed, and an intelligent decision support system was constructed. Through simulation experiments and case verification, the models and strategies proved to be effective and feasible.

Keywords

Intelligent Analysis Method, University Network Public Opinion, Countermeasures, Intelligent Decision-Making