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This paper addresses practical aspects of Web page classification not captured by the classical text mining framework. Classifiers are supposed to perform well on a broad variety of pages. We argue that constructing training corpora is a bottleneck for building such classifiers, and that care has to be taken if the goal is to generalize to previously unseen kinds of pages on the Web. We study techniques...
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