Abstract
Feature selection is a very important step in text classification, which affects the accuracy and validity in text classification. Base on four classic feature selection algorithms of text mining, this paper has established a kind of integrated learning algorithm which applies with feature selection in text classification, in order to improve the accuracy of text classification. Test results show that the algorithm improves the accuracy of text classification.
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