Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data

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).

Decision Making