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- W124920478 abstract "The co-occurrence of words can make contribution to text classification. However, current text classification technology failed to take full advantage of this information. In this paper, we use association features to describe this information and present the algorithm for creating association feature set to make the association features we selected be good discriminators. The experiment results show that the performance of Naive Bayes text classifier and decision tree text classifier could be improved by using association features." @default.
- W124920478 created "2016-06-24" @default.
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- W124920478 date "2003-01-01" @default.
- W124920478 modified "2023-10-16" @default.
- W124920478 title "Improving the Performance of Text Classifiers by Using Association Features" @default.
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- W124920478 doi "https://doi.org/10.1007/978-3-540-39592-8_43" @default.
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