Incorporting Keyword-Based Filtering to Document Classification for Email Spamming

Email spamming causes serious problems in the Internet resulting in a huge waste of resources and attracting high attention from research society. Automatic document classification and keyword-based filtering are two kinds of techniques which have been applied to filter spam emails to achieve satisfactory results. This paper proposes a formal method by incorporating keyword-based filtering to document classification. To consider the potentially high cost of misclassification of an email to a spam email in real-word situation, a cost-sensitive evaluation metric is adopted to evaluate our approaches. We conducted extensive experiments in real-word data showing promising results.