Abstract: 【 Purpose/significance】 Given the complexity of network public opinion management and the importance of the user's emo⁃ tional experience in the network public opinion dissemination, the design of the network public opinion guidance model based on the user's emotional experience has a certain theoretical and practical significance for the early warning and prevention of public opinion crisis and the reduction of public opinion risk.【 Method/process】Based on the analysis of real cases, we proposed a method that effec⁃ tively quantifies the user's emotional experience. Taking the user's emotional experience as a breakthrough point, we built a multidimensional network public opinion guidance model with big data technologies. This model consists of three parts: information process⁃ ing and emotional analysis, public opinion management and monitoring, and public opinion guidance.【 Result/conclusion】Taking us⁃ ers' emotional experience as the core of the network public opinion management can scientifically and reasonably avoid negative im⁃ pacts of the network public opinion.【 Innovation/limitation】 It can promote a virtuous information cycle between various stages of pub⁃ lic opinion dissemination, forming an open and harmonious online public opinion space.