<scp>CNN</scp> ‐based politics public opinion analysis of undergraduates: A case study with <scp>CDN</scp> deployment

In the era of social media, political speech undergraduates blots out sky and covers up earth, which perhaps generates negative effect. To enhance management ability government departments, it is considerably necessary to pay more attention public opinion. However, current researches on opinion mainly focus mathematical modeling or data mining irrespective analysis. Consider that Convolutional Neural Network (CNN) has strong analysis ability, this paper uses CNN realize special application, is, politics undergraduates, two functions. On one hand, greatly help departments eliminate crisis timely; other correctly guide education undergraduates. Besides, also presents a case study based Content Delivery (CDN) deployment, in monitor system implemented analyze undergraduates' speech. Finally, with three dissemination modes consideration, experiments are made. The results show better training whole deployment significant compared state‐of‐the‐art schemes.