Design of spam filtering model based on HTML chi-square algorithm
Ying Kong · Journal of Zhejiang University of Science and Technology · 2010
We introduce the application of chi-square distribution in spam filtering based on HTML tag algorithm.Firstly,we analyze the contents of the e-mail and convert them into forms of HTML source code.Then we do feature extraction according to HTML language characteristics so as to achieve the purpose of e-mail pre-processing.Finally,we use LVQ neural networks to design a classifier model in order to realize the purpose of separating ham from spam.The comparison test results show that the LVQ neural network classifier based on HTML chi-square distribution has achieved better results.