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Exploiting probabilistic topic models to improve text categorization under class imbalance
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In text categorization, it is quite often that the numbers of documents in different categories are different, i.e., the class distribution is imbalanced. We propose a unique approach to improve te...
XiongHui
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ChenEnhong
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MaHaiping
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LinYanggang
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LuoQiming
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