[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
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 …
Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
Early identification of depression severity levels on reddit using ordinal classification
User-generated text on social media is a promising avenue for public health surveillance
and has been actively explored for its feasibility in the early identification of depression …
and has been actively explored for its feasibility in the early identification of depression …
KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content
Suicidal ideation (SI), as a psychiatric emergency, requires immediate assistance and
intervention. Most people with SI do not actively seek help from mental health professionals …
intervention. Most people with SI do not actively seek help from mental health professionals …
Benchmarking for public health surveillance tasks on social media with a domain-specific pretrained language model
A user-generated text on social media enables health workers to keep track of information,
identify possible outbreaks, forecast disease trends, monitor emergency cases, and …
identify possible outbreaks, forecast disease trends, monitor emergency cases, and …
A systematic review of ethics disclosures in predictive mental health research
Applied machine learning (ML) has not yet coalesced on standard practices for research
ethics. For ML that predicts mental illness using social media data, ambiguous ethical …
ethics. For ML that predicts mental illness using social media data, ambiguous ethical …
WellXplain: Wellness concept extraction and classification in Reddit posts for mental health analysis
M Garg - Knowledge-Based Systems, 2024 - Elsevier
Amid the ongoing mental health crisis, there is an increasing need to discern possible signs
of mental disturbance manifested in social media text. During in-person therapy sessions …
of mental disturbance manifested in social media text. During in-person therapy sessions …
Predicting depression and anxiety on reddit: a multi-task learning approach
One of the strongest indicators of a mental health crisis is how people interact with each
other or express them-selves. Hence, social media is an ideal source to extract user-level …
other or express them-selves. Hence, social media is an ideal source to extract user-level …
Hybrid text representation for explainable suicide risk identification on social media
Social media data that characterize users can provide mental health signals, including
suicide risks. Existing methods for suicide risk identification on social media have …
suicide risks. Existing methods for suicide risk identification on social media have …