An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

@article{Tuarob2014AnEH,
  title={An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages},
  author={Suppawong Tuarob and Conrad S. Tucker and Marcel Salath{\'e} and Nilam Ram},
  journal={Journal of biomedical informatics},
  year={2014},
  volume={49},
  pages={255-68}
}
OBJECTIVES The role of social media as a source of timely and massive information has become more apparent since the era of Web 2.0.Multiple studies illustrated the use of information in social media to discover biomedical and health-related knowledge.Most methods proposed in the literature employ traditional document classification techniques that represent a document as a bag of words.These techniques work well when documents are rich in text and conform to standard English; however, they are… CONTINUE READING
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