Natural language processing applied to mental illness detection: a narrative review

T Zhang, AM Schoene, S Ji, S Ananiadou - NPJ digital medicine, 2022 - nature.com
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 …

Methods in predictive techniques for mental health status on social media: a critical review

S Chancellor, M De Choudhury - NPJ digital medicine, 2020 - nature.com
Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict 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 …

[HTML][HTML] Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on reddit during covid-19: Observational study

DM Low, L Rumker, T Talkar, J Torous, G Cecchi… - Journal of medical …, 2020 - jmir.org
Background The COVID-19 pandemic is impacting mental health, but it is not clear how
people with different types of mental health problems were differentially impacted as the …

Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey

KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …

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 …

IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things

J Chen, Y Hu, Q Lai, W Wang, J Chen, H Liu… - Information …, 2024 - Elsevier
Depression is now a prevalent mental illness and multimodal data-based depression
detection is an essential topic of research. Internet of Medical Things devices can provide …

Remember the human: A systematic review of ethical considerations in reddit research

C Fiesler, M Zimmer, N Proferes, S Gilbert… - Proceedings of the ACM …, 2024 - dl.acm.org
Reddit is one of the world's most prominent social media platforms, and also a valuable
source of data for internet researchers. However, working with this kind of data also presents …

Suicidal ideation detection: A review of machine learning methods and applications

S Ji, S Pan, X Li, E Cambria, G Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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) …

Deep learning techniques for suicide and depression detection from online social media: A sco** review

A Malhotra, R **dal - 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 …