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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 …
Methods in predictive techniques for mental health status on social media: a critical review
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 …
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 …
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
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 …
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 …
information, delivering comments, finding new information, and engaging in discussions that …
Natural language processing of social media as screening for suicide risk
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 …
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
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 …
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
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 …
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
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) …
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
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 …