Internet groups refer to netizens who have the same interests and hobbies and hold similar views on an event. In the network group, the youth group occupies the main part, and the formation of the youth public opinion is closely related to the network group psychology. The complexity and diversity of network information often make information mixed with corrupt culture, wrong thoughts, false information and so on. It has certain practical significance for ideological and political education to analyze the characteristics of network group psychology and guide the youth public opinion on this basis. Over the recent years, data mining (DM) technology has developed rapidly. Based on DM technology and support vector machine (SVM) model, this paper conducts targeted research and analysis on network group psychology and youth public opinion guidance, aims to accurately grasp the dynamics of online youth public opinion, and respond promptly, thereby reducing the difficulty of public opinion guidance and improving the efficiency of public opinion guidance. The results show that the public opinion guidance platform based on DM reduces the difficulty of public opinion guidance and improves the guidance efficiency by 6.2%, which has an important reference value.
