Based on the significance of feature frequency, an improved weighting method for feature frequency is proposed, which considers the decision-making information in evaluating the contribution of feature frequency to document categorization. Experimental results show that this method could improve the space distribution of the document set. Furthermore, the values of macro accuracy, macro recall rate and macroF1 are all improved significantly.
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