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Classification Methods (3)
Supervised learning of a document-label assignment function
Many systems partly or wholly rely on machine learning (Autonomy, Microsoft, Enkata, Yahoo!, …)
k-Nearest Neighbors (simple, powerful)
Naive Bayes (simple, common method)
Support-vector machines (new, generally more powerful)
… plus many other methods
No free lunch: requires hand-classified training data
But data can be built up (and refined) by amateurs
Many commercial systems use a mixture of methods
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