%0 Conference Proceedings %T Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language %A Loveys, Kate %A Crutchley, Patrick %A Wyatt, Emily %A Coppersmith, Glen %Y Hollingshead, Kristy %Y Ireland, Molly E. %Y Loveys, Kate %S Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality %D 2017 %8 August %I Association for Computational Linguistics %C Vancouver, BC %F loveys-etal-2017-small %X 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. %R 10.18653/v1/W17-3110 %U https://aclanthology.org/W17-3110 %U https://doi.org/10.18653/v1/W17-3110 %P 85-95