Utilizing improved Bayesian algorithm to identify blog comment spam

In this paper, according to the blog website team dealing with comment spam demand more and more, analyzed the traditional Bayesian algorithm based on statistical method of defects, pointed out the deficiency in practical application, improved the rough Bayesian algorithm, utilized a string of comments appear based on the garbage probability value, calculated the number of geometrical average algorithm. The experimental results show that the modified Bayesian classification algorithm can effectively improve the classification of spam effect, garbage afr, legal review comments afr and average afr has dropped substantially.