Natural language processing of social media as screening for suicide risk

G Coppersmith, R Leary… - Biomedical informatics …, 2018 - journals.sagepub.com
Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …

Community-level research on suicidality prediction in a secure environment: Overview of the CLPsych 2021 shared task

S MacAvaney, A Mittu, G Coppersmith… - Proceedings of the …, 2021 - aclanthology.org
Progress on NLP for mental health—indeed, for healthcare in general—is hampered by
obstacles to shared, community-level access to relevant data. We report on what is, to our …

Quantifying mental health from social media with neural user embeddings

S Amir, G Coppersmith, P Carvalho… - Machine Learning …, 2017 - proceedings.mlr.press
Mental illnesses adversely affect a significant proportion of the population worldwide.
However, the typical methods to estimate and characterize the prevalence of mental health …

Small but mighty: affective micropatterns for quantifying mental health from social media language

K Loveys, P Crutchley, E Wyatt… - Proceedings of the …, 2017 - aclanthology.org
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 …

Scalable mental health analysis in the clinical whitespace via natural language processing

G Coppersmith, C Hilland, O Frieder… - 2017 IEEE EMBS …, 2017 - ieeexplore.ieee.org
Our increasingly digital life provides a wealth of data about our behavior, beliefs, mood, and
well-being. This data provides some insight into the lives of patients outside the healthcare …

In your wildest dreams: the language and psychological features of dreams

K Niederhoffer, J Schler, P Crutchley… - Proceedings of the …, 2017 - aclanthology.org
In this paper, we provide the first quantified exploration of the structure of the language of
dreams, their linguistic style and emotional content. We present a collection of digital dream …

Individual differences in the Movement-Mood Relationship in Digital Life Data

G Coppersmith, A Fine, P Crutchley… - Proceedings of the …, 2021 - aclanthology.org
Our increasingly digitized lives generate troves of data that reflect our behavior, beliefs,
mood, and wellbeing. Such “digital life data” provides crucial insight into the lives of patients …