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A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data

Omar ElTayeby, Todd Eaglin, Malak Abdullah

  • 1The University of North Carolina at Charlotte, USA.

Health Informatics Journal
|September 20, 2018
PubMed

Keywords:
binge drinkingimage classificationmachine learningsocial mediatext miningvideo classification

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