[HTML][HTML] 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 …

[HTML][HTML] Machine learning for mental health in social media: bibliometric study

J Kim, D Lee, E Park - Journal of Medical Internet Research, 2021 - jmir.org
Background: Social media platforms provide an easily accessible and time-saving
communication approach for individuals with mental disorders compared to face-to-face …

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 …

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods

K Jaidka, S Giorgi, HA Schwartz… - Proceedings of the …, 2020 - National Acad Sciences
Researchers and policy makers worldwide are interested in measuring the subjective well-
being of populations. When users post on social media, they leave behind digital traces that …

Tracking mental health and symptom mentions on Twitter during COVID-19

SC Guntuku, G Sherman, DC Stokes… - Journal of general …, 2020 - Springer
METHODS We are collecting two data sets, each containing approximately 5 million
tweets/day, of publicly accessible streaming data for the dashboard:(a) a random 1% sample …

Social media user behavior analysis applied to the fashion and apparel industry in the big data era

Z Xue, Q Li, X Zeng - Journal of Retailing and Consumer Services, 2023 - Elsevier
With the rapid development of the Internet and new media, the enormous data from social
media and other public platforms have attracted increasing attention to user behavior …

Mental-llm: Leveraging large language models for mental health prediction via online text data

X Xu, B Yao, Y Dong, S Gabriel, H Yu… - Proceedings of the …, 2024 - dl.acm.org
Advances in large language models (LLMs) have empowered a variety of applications.
However, there is still a significant gap in research when it comes to understanding and …

Modern views of machine learning for precision psychiatry

ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang - Patterns, 2022 - cell.com
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …

Dreaddit: A reddit dataset for stress analysis in social media

E Turcan, K McKeown - arXiv preprint arXiv:1911.00133, 2019 - arxiv.org
Stress is a nigh-universal human experience, particularly in the online world. While stress
can be a motivator, too much stress is associated with many negative health outcomes …