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An improved method for feature weighting to document categorization

机译:一种改进的特征加权文档分类方法

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摘要

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.
机译:基于特征频率的重要性,提出了一种改进的特征频率加权方法,该方法在评估特征频率对文档分类的贡献时考虑了决策信息。实验结果表明,该方法可以改善文档集的空间分布。此外,宏精度,宏召回率和macroF1的值都得到了显着提高。

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