Identification of Sensitive Information Based on Improved Naive Bayesian Classifier
Tao Dong, Wenqian Shang · 2011
In order to purify the Internet environment, identify the unhealthy and malicious information from the mass network information and achieve the purpose of monitoring the websites efficiently, we use the text preprocessing based on the vector space model and the improved Naive Bayesian classifier to construct a identification system of sensitive information. This system not only identify and classify the sensitive information from the mass of network information, but also provide a practical system and program for monitoring the websites.