@InProceedings{loveys-EtAl:2017:CLPsych,
  author    = {Loveys, Kate  and  Crutchley, Patrick  and  Wyatt, Emily  and  Coppersmith, Glen},
  title     = {Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language},
  booktitle = {Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology --- From Linguistic Signal to Clinical Reality},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, BC},
  publisher = {Association for Computational Linguistics},
  pages     = {85--95},
  abstract  = {Many psychological phenomena occur in small time windows, measured in minutes
	or hours. However, most computational linguistic techniques look at data on the
	order of weeks, months, or years. We explore micropatterns in sequences of
	messages occurring over a short time window for their prevalence and power for
	quantifying psychological phenomena, specifically, patterns in affect. We
	examine affective micropatterns in social media posts from users with anxiety,
	eating disorders, panic attacks, schizophrenia, suicidality, and matched
	controls.},
  url       = {http://www.aclweb.org/anthology/W17-3110}
}