Boosting for Text Classification with Semantic Features

@inproceedings{Bloehdorn2004BoostingFT,
  title={Boosting for Text Classification with Semantic Features},
  author={Stephan Bloehdorn and Andreas Hotho},
  booktitle={WebKDD},
  year={2004}
}
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. Boosting, a successful machine learning technique is used for classification. Comparative experimental evaluations in three different settings… CONTINUE READING
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