Boosting for Text Classification with Semantic Features

Abstract

Current text classification systems typically use term stems for representing document content. Ontologies allow the usage of features on a higher semantic level than single words for text classification purposes. In this paper we propose such an enhancement of the classical document representation through concepts extracted from background knowledge… (More)
DOI: 10.1007/11899402_10

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@inproceedings{Bloehdorn2004BoostingFT, title={Boosting for Text Classification with Semantic Features}, author={Stephan Bloehdorn and Andreas Hotho}, booktitle={WebKDD}, year={2004} }