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Three term weighting and classification algorithms in text automatic classification

机译:文本自动分类中的三项加权和分类算法

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摘要

Three automatic text classification algorithms are provided. They are the Bayes method based on Bayes theorem and IDF (Invert Document Frequency), VSM based on Shannon entropy and a fuzzy method based on fuzzy theory. Furthermore, the method of combining term weighting methods with three classification algorithms is also provided in the paper.
机译:提供了三种自动文本分类算法。它们是基于贝叶斯定理和IDF(逆文档频率)的贝叶斯方法,基于香农熵的VSM和基于模糊理论的模糊方法。此外,本文还提供了将术语加权方法与三种分类算法相结合的方法。

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