no code implementations • NAACL (CLPsych) 2021 • Glen Coppersmith, Alex Fine, Patrick Crutchley, Joshua Carroll
We describe these individual differences, and argue that individual variability in the relationship between movement and mood is one of many such factors that ought be taken into account in wellbeing-focused apps and AI systems.
no code implementations • EMNLP (NLP+CSS) 2020 • Kacie Kelly, Alex Fine, Glen Coppersmith
In this article, we examine social media data as a lens onto support-seeking among women veterans of the US armed forces.
no code implementations • EMNLP (NLP+CSS) 2020 • Alex Fine, Patrick Crutchley, Jenny Blase, Joshua Carroll, Glen Coppersmith
Here, we demonstrate that natural language processing applied to publicly-available social media data can provide real-time estimates of psychological distress in the population (specifically, English-speaking Twitter users in the US).
no code implementations • NAACL (CLPsych) 2021 • Sean MacAvaney, Anjali Mittu, Glen Coppersmith, Jeff Leintz, Philip Resnik
Progress on NLP for mental health — indeed, for healthcare in general — is hampered by obstacles to shared, community-level access to relevant data.
no code implementations • SEMEVAL 2017 • Efsun Sarioglu Kayi, Mona Diab, Luca Pauselli, Michael Compton, Glen Coppersmith
As such, we examine the writings of schizophrenia patients analyzing their syntax, semantics and pragmatics.
no code implementations • WS 2018 • Kate Loveys, Jonathan Torrez, Alex Fine, Glen Moriarty, Glen Coppersmith
This study explores cultural differences in online language data of users with depression.
Cultural Vocal Bursts Intensity Prediction Data Visualization
no code implementations • WS 2017 • Kate Loveys, Patrick Crutchley, Emily Wyatt, Glen Coppersmith
Many psychological phenomena occur in small time windows, measured in minutes or hours.
no code implementations • WS 2017 • Kate Niederhoffer, Jonathan Schler, Patrick Crutchley, Kate Loveys, Glen Coppersmith
In this paper, we provide the first quantified exploration of the structure of the language of dreams, their linguistic style and emotional content.
1 code implementation • 30 Apr 2017 • Silvio Amir, Glen Coppersmith, Paula Carvalho, Mário J. Silva, Byron C. Wallace
Our experimental results demonstrate that the user embeddings capture similarities between users with respect to mental conditions, and are predictive of mental health.
no code implementations • WS 2017 • Adrian Benton, Glen Coppersmith, Mark Dredze
Social media have transformed data-driven research in political science, the social sciences, health, and medicine.