[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 …
[HTML][HTML] Machine learning for mental health in social media: bibliometric study
Background: Social media platforms provide an easily accessible and time-saving
communication approach for individuals with mental disorders compared to face-to-face …
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 …
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
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 …
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
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 …
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 …
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
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 …
However, there is still a significant gap in research when it comes to understanding and …
Modern views of machine learning for precision psychiatry
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 …
the advent of functional neuroimaging, novel technologies and methods provide new …
Dreaddit: A reddit dataset for stress analysis in social media
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 …
can be a motivator, too much stress is associated with many negative health outcomes …