Semantic Space models for classification of consumer webpages on metadata attributes

@article{Chen2010SemanticSM,
  title={Semantic Space models for classification of consumer webpages on metadata attributes},
  author={Guocai Chen and Jim Warren and Patricia Riddle},
  journal={Journal of biomedical informatics},
  year={2010},
  volume={43 5},
  pages={725-35}
}
To deal with the quantity and quality issues with online healthcare resources, creating web portals centred on particular health topics and/or communities of users is a strategy to provide access to a reduced corpus of information resources that meet quality and relevance criteria. In this paper we use hyperspace analogue to language (HAL) to model the language use patterns of webpages as Semantic Spaces. We have applied machine learning methods, including support vector machine (SVM), decision… CONTINUE READING
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