[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 …
Deep learning techniques for suicide and depression detection from online social media: A scoping review
A Malhotra, R Jindal - 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 …
neglected public health issues. Depression is the most common mental health issue and the …
[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
S Muñoz, CA Iglesias - Information Processing & Management, 2022 - Elsevier
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 …
Early identification of depression severity levels on reddit using ordinal classification
User-generated text on social media is a promising avenue for public health surveillance
and has been actively explored for its feasibility in the early identification of depression …
and has been actively explored for its feasibility in the early identification of depression …
[HTML][HTML] The potential of chatbots for emotional support and promoting mental well-being in different cultures: mixed methods study
Background Artificial intelligence chatbot research has focused on technical advances in
natural language processing and validating the effectiveness of human-machine …
natural language processing and validating the effectiveness of human-machine …
DisorBERT: A double domain adaptation model for detecting signs of mental disorders in social media
Mental disorders affect millions of people worldwide and cause interference with their
thinking and behavior. Through the past years, awareness created by health campaigns and …
thinking and behavior. Through the past years, awareness created by health campaigns and …
[HTML][HTML] Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation
Due to the worldwide accessibility to the Internet along with the continuous advances in
mobile technologies, physical and digital worlds have become completely blended, and the …
mobile technologies, physical and digital worlds have become completely blended, and the …
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 …
Large language models in mental health care: a scoping review
Objective: The growing use of large language models (LLMs) stimulates a need for a
comprehensive review of their applications and outcomes in mental health care contexts …
comprehensive review of their applications and outcomes in mental health care contexts …