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 …
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …
Suicidal ideation detection: A review of machine learning methods and applications
Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …
Using social media for mental health surveillance: a review
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …
data may also support standard surveillance approaches and provide decision-makers with …
Personality predictions based on user behavior on the facebook social media platform
With the development of social networks, a large variety of approaches have been
developed to define users' personalities based on their social activities and language use …
developed to define users' personalities based on their social activities and language use …
Expert, crowdsourced, and machine assessment of suicide risk via online postings
We report on the creation of a dataset for studying assessment of suicide risk via online
postings in Reddit. Evaluation of risk-level annotations by experts yields what is, to our …
postings in Reddit. Evaluation of risk-level annotations by experts yields what is, to our …
Knowledge-aware assessment of severity of suicide risk for early intervention
Mental health illness such as depression is a significant risk factor for suicide ideation,
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
Deep learning techniques for suicide and depression detection from online social media: A scoping review
A Malhotra, R Jindal - Applied Soft Computing, 2022 - Elsevier
Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …
neglected public health issues. Depression is the most common mental health issue and the …
Building and using personal knowledge graph to improve suicidal ideation detection on social media
A large number of individuals are suffering from suicidal ideation in the world. There are a
number of causes behind why an individual might suffer from suicidal ideation. As the most …
number of causes behind why an individual might suffer from suicidal ideation. As the most …
[PDF][PDF] Exploratory analysis of social media prior to a suicide attempt
G Coppersmith, K Ngo, R Leary… - Proceedings of the third …, 2016 - aclanthology.org
Abstract Tragically, an estimated 42,000 Americans died by suicide in 2015, each one
deeply affecting friends and family. Very little data and information is available about people …
deeply affecting friends and family. Very little data and information is available about people …
[PDF][PDF] Multitask learning for mental health conditions with limited social media data
We introduce initial groundwork for estimating suicide risk and mental health in a deep
learning framework. By modeling multiple conditions, the system learns to make predictions …
learning framework. By modeling multiple conditions, the system learns to make predictions …