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 • 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 • 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 • 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