@InProceedings{sekulic-gjurkovi-najder:2018:WASSA2018,
  author    = {Sekulic, Ivan  and  Gjurković, Matej  and  Šnajder, Jan},
  title     = {Not Just Depressed: Bipolar Disorder Prediction on Reddit},
  booktitle = {Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {72--78},
  abstract  = {Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide. We present a preliminary study on bipolar disorder prediction from user-generated text on Reddit, which relies on users’ self-reported labels. Our benchmark classifiers for bipolar disorder prediction outperform the baselines and reach accuracy and F1-scores of above 86%. Feature analysis shows interesting differences in language use between users with bipolar disorders and the control group, including differences in the use of emotion-expressive words.},
  url       = {http://aclweb.org/anthology/W18-6211}
}