Information gain is an effective feature item selection method in text classification. Aiming at the problem of feature item selection in spam filtering, an improved information gain method is proposed to extract feature words, and the minimum risk Bayes decision method is adopted. Finally, experiments are carried out on the English corpus. The experimental results show that the improved method reduces the filter\'s misjudgment of legitimate emails.
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