Leveraging reddit for suicidal ideation detection: A review of machine learning and natural language processing techniques
Suicide is a major public-health problem that exists in virtually every part of the world.
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …
CLPsych 2019 shared task: Predicting the degree of suicide risk in Reddit posts
The shared task for the 2019 Workshop on Computational Linguistics and Clinical
Psychology (CLPsych'19) introduced an assessment of suicide risk based on social media …
Psychology (CLPsych'19) introduced an assessment of suicide risk based on social media …
[图书][B] Natural language processing for social media
A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …
The newer research on language analysis in social media has been increasingly focusing …
[HTML][HTML] Suitability of text-based communications for the delivery of psychological therapeutic services to rural and remote communities: scoping review
Background: People living in rural and remote areas have poorer access to mental health
services than those living in cities. They are also less likely to seek help because of self …
services than those living in cities. They are also less likely to seek help because of self …
Micromodels for efficient, explainable, and reusable systems: A case study on mental health
Many statistical models have high accuracy on test benchmarks, but are not explainable,
struggle in low-resource scenarios, cannot be reused for multiple tasks, and cannot easily …
struggle in low-resource scenarios, cannot be reused for multiple tasks, and cannot easily …
A hybrid deep learning model using grid search and cross-validation for effective classification and prediction of suicidal ideation from social network data
Suicide deaths due to depression and mental stress are growing rapidly at an alarming rate.
People freely express their feelings and emotions on social network sites while they feel …
People freely express their feelings and emotions on social network sites while they feel …
[HTML][HTML] Identifying Reddit Users at a High Risk of Suicide and Their Linguistic Features During the COVID-19 Pandemic: Growth-Based Trajectory Model
Y Yan, J Li, X Liu, Q Li, NX Yu - Journal of Medical Internet Research, 2024 - jmir.org
Background Suicide has emerged as a critical public health concern during the COVID-19
pandemic. With social distancing measures in place, social media has become a significant …
pandemic. With social distancing measures in place, social media has become a significant …
[HTML][HTML] Predicting mental health status in remote and rural farming communities: computational analysis of text-based counseling
Background: Australians living in rural and remote areas are at elevated risk of mental
health problems and must overcome barriers to help seeking, such as poor access, stigma …
health problems and must overcome barriers to help seeking, such as poor access, stigma …
A Systematic Review of Artificial Intelligence and Mental Health in the Context of Social Media
X Chen, Y Genc - International Conference on Human-Computer …, 2022 - Springer
Objective: We conducted a systematic review on the use of Artificial Intelligence (AI) in the
psychology domain within the context of social media's role on mental health. We identified …
psychology domain within the context of social media's role on mental health. We identified …
[HTML][HTML] Inferring the patient's age from implicit age clues in health forum posts
Broader patient-reported experiences in oncology are largely unknown due to the lack of
available information from traditional data sources. Online health community data provide an …
available information from traditional data sources. Online health community data provide an …