Research on the feature selection method for spam filtering
Hui Wang · Journal of Hefei University of Technology · 2009
Feature selection for spam filtering is researched in this paper.The word co-occurrence model is introduced to analyze the semantic relation between phrases.Features representing emails are selected by word co-occurrence and information gain.The neural network is used to classify emails and construct the spam filter.The experiments show that the precision of spam filtering is increased by feature selection which combines word co-occurrence and information gain.