Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed "Dabbing" Homograph Tweets

Antonio A. Ginart, Sanmay Das, Jenine K. Harris, Roger Wong, Hao Yan, Melissa J. Krauss, Patricia A. Cavazos-Rehg. Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed "Dabbing" Homograph Tweets. In 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016, Chicago, IL, USA, October 4-7, 2016. pages 10-13, IEEE Computer Society, 2016. [doi]

@inproceedings{GinartDHWYKC16,
  title = {Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed "Dabbing" Homograph Tweets},
  author = {Antonio A. Ginart and Sanmay Das and Jenine K. Harris and Roger Wong and Hao Yan and Melissa J. Krauss and Patricia A. Cavazos-Rehg},
  year = {2016},
  doi = {10.1109/ICHI.2016.97},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICHI.2016.97},
  researchr = {https://researchr.org/publication/GinartDHWYKC16},
  cites = {0},
  citedby = {0},
  pages = {10-13},
  booktitle = {2016 IEEE International Conference on Healthcare Informatics, ICHI 2016, Chicago, IL, USA, October 4-7, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-6117-4},
}