Finding salient features for personal Web page categories
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TL;DR
Results show that the clustering technique is successful in discovering word groups which can be used to find similar information on the World Wide Web.
Abstract
We examine techniques that "discover" features in sets of pre-categorized documents, such that similar documents can be found on the World Wide Web. First, we examine techniques which will classify training examples with high accuracy, then explain why this is not necessarily useful. We then describe a method for extracting word clusters from the raw document features. Results show that the clustering technique is successful in discovering word groups which can be used to find similar information on the World Wide Web.
