@InProceedings{strapparava-mihalcea:2017:EACLshort,
  author    = {Strapparava, Carlo  and  Mihalcea, Rada},
  title     = {A Computational Analysis of the Language of Drug Addiction},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {136--142},
  abstract  = {We present a computational analysis of the language of drug users when talking
	about their drug experiences. We introduce a new dataset of over 4,000
	descriptions of experiences reported by users of four main drug types, and show
	that we can predict with an F1-score of up to 88% the drug behind a certain
	experience. We also perform an analysis of the dominant psycholinguistic
	processes and dominant emotions associated with each drug type, which sheds 
	light on the characteristics of drug users.},
  url       = {http://www.aclweb.org/anthology/E17-2022}
}