Online Public Opinion Risk Assessment Model Based on AHP

This paper proposes a risk assessment model of online public opinion based on Analytic Hierarchy Process( AHP). The aim is to quantify the risks associated with online public opinion and offer decision-making support for the management of online public opinion. This model breaks down complex online public opinion issues into multiple levels and factors. By using AHP, it combines qualitative and quantitative analysis to determine the relative weight of each factor, thereby enabling the accurate evaluation of online public opinion issues. The paper elaborates on the model construction process, including hierarchy design, judgment matrix construction, weight calculation, and consistency testing. It also validates the model through a large volume of real-world data. The experimental results indicate that the model exhibits high accuracy and practicality, providing a scientific and systematic approach to the risk assessment of online public opinion.