[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] Influencing factors, prediction and prevention of depression in college students: a literature review
XQ Liu, YX Guo, WJ Zhang, WJ Gao - World Journal of Psychiatry, 2022 - ncbi.nlm.nih.gov
The high prevalence of depression among college students has a strong negative impact on
individual physical and mental health, academic development, and interpersonal …
individual physical and mental health, academic development, and interpersonal …
[HTML][HTML] Emotion fusion for mental illness detection from social media: A survey
Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …
negatively influence people's lives and society's health. With the increasing popularity of …
[HTML][HTML] A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations
Nowadays, stress has become a growing problem for society due to its high impact on
individuals but also on health care systems and companies. In order to overcome this …
individuals but also on health care systems and companies. In order to overcome this …
[HTML][HTML] Digital phenoty** of mental health using multimodal sensing of multiple situations of interest: A systematic literature review
Many studies have used Digital Phenoty** of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …
classic methods of mental health assessment and monitoring. This research area proposes …
Detecting mental distresses using social behavior analysis in the context of covid-19: A survey
Online social media provides a channel for monitoring people's social behaviors from which
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …
Transformer-based language models for mental health issues: a survey
Early identification and prevention of mental health stresses and their outcomes has become
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …
Depression detection in social media comments data using machine learning algorithms
ZN Vasha, B Sharma, IJ Esha, J Al Nahian… - Bulletin of Electrical …, 2023 - beei.org
Depression is the next level of negative emotions. When a person is in a sad mood or going
through a difficult situation and it is not leaving him and giving him pain continuously and he …
through a difficult situation and it is not leaving him and giving him pain continuously and he …
[HTML][HTML] Methodologies for monitoring mental health on Twitter: Systematic review
Background The use of social media data to predict mental health outcomes has the
potential to allow for the continuous monitoring of mental health and well-being and provide …
potential to allow for the continuous monitoring of mental health and well-being and provide …