An Analysis Model of Network Illegal Fund-raising Based on Advertisement Content Mining

摘要

Network Illegal fund-raising is a social problem and is more subtle and destructive. Government regulators should explore more effective control methods for early discovery. At the preliminary stage of the illegal fund-raising, in order to promote the investment effect and producing the spread effect in the network, it need to do more propagandizing activity. Investment advertisement content with illegal fund-raising risk may some certain characteristics. Risk mining is carried out for the advertisement content in this study. The advertisement content risk is defined as three factors: risk loss, risk probability and risk diffusion speed. Through the establishment of an illegal fund-raising advertisement content anomaly model, the illegal fund-raising behavior can be detected by the method in the early stage.