Intelligent Model of Bidding Audit based on Text Mining

In order to supervise the bidding activities efficiently and to put forward the accurate standard audit opinions, this paper constructs a model of bidding auxiliary audit intelligent algorithm based on the text mining in Python language. The length and frequency of key words are normalized and optimized. The optimized model shows good characteristics in consistency between prediction and reality, and it can help auditors to identify fraud effectively in bidding process with the quantitative and scientific methods, which is meaningful to improve quality and efficiency of audit in bidding.