no code implementations • WS 2019 • Jonathan Zomick, Sarah Ita Levitan, Mark Serper
In this paper we leverage the vast amount of data available from social media and use statistical and machine learning approaches to study linguistic characteristics of SZ.
no code implementations • NAACL (CLPsych) 2021 • Zhengping Jiang, Jonathan Zomick, Sarah Ita Levitan, Mark Serper, Julia Hirschberg
We address the problem of predicting psychiatric hospitalizations using linguistic features drawn from social media posts.
no code implementations • EMNLP (Louhi) 2020 • Zhengping Jiang, Sarah Ita Levitan, Jonathan Zomick, Julia Hirschberg
We address the problem of automatic detection of psychiatric disorders from the linguistic content of social media posts.