Application of support vector machine in junk information filtering

We propose a filtering method junk information filtering based on support vector machine (SVM) algorithm. By means of performance evaluation indexes universally applied in such fields as text classification and information retrieval, an evaluation system for filtering junk messages is established. The proper kernel function and its parameters are selected to construct a classifier of SVM. The classifier of SVM and the traditional Bayesian classifier is tested and evaluated through stimulation experiments and evaluation system. The comparison results show that the classifier of SVM improves the accuracy of filtering messages, and verifies the effectiveness of the algorithm of SVM. © ICIC International