Approach to Feature Selection of Spam Filtering Based on Contribution Difference
Weijian Ni · Jisuanji gongcheng · 2007
Spam filtering is essentially a two-category text classification problem.Feature selection plays an important role in spam filtering.For the peculiarity of the two-category classification problem,improvement on traditional feature-selection approaches can be made.Based on the idea of contribution difference,improvement on two traditional feature selection approaches,i.e,document frequency and mutual information is made.The experiment results show that the new approach significantly improve classification precisions.