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 …
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 …
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …
capabilities with increasing scale. Despite their potentially transformative impact, these new …
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 …
A time-aware transformer based model for suicide ideation detection on social media
Social media's ubiquity fosters a space for users to exhibit suicidal thoughts outside of
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
Discourse-level representations can improve prediction of degree of anxiety
Anxiety disorders are the most common of mental illnesses, but relatively little is known
about how to detect them from language. The primary clinical manifestation of anxiety is …
about how to detect them from language. The primary clinical manifestation of anxiety is …
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 …
[HTML][HTML] Beyond rating scales: With targeted evaluation, language models are poised for psychological assessment
In this narrative review, we survey recent empirical evaluations of AI-based language
assessments and present a case for the technology of large language models to be poised …
assessments and present a case for the technology of large language models to be poised …
Time perspective-enhanced suicidal ideation detection using multi-task learning
Q Yang, J Zhou, Z Wei - International Journal of Network Dynamics and …, 2024 - sciltp.com
Suicide notes are written documents left behind by suicide victims, either on paper or on
social media, and can help us understand the mentality and thought processes of those …
social media, and can help us understand the mentality and thought processes of those …
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 …