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 …
Mentalbert: Publicly available pretrained language models for mental healthcare
Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
[HTML][HTML] Studies of depression and anxiety using reddit as a data source: scoping review
N Boettcher - JMIR mental health, 2021 - mental.jmir.org
Background The study of depression and anxiety using publicly available social media data
is a research activity that has grown considerably over the past decade. The discussion …
is a research activity that has grown considerably over the past decade. The discussion …
Towards interpretable mental health analysis with large language models
The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in
automated mental health analysis. However, existing relevant studies bear several …
automated mental health analysis. However, existing relevant studies bear several …
[HTML][HTML] A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
Stress and depression detection on social media aim at the analysis of stress and
identification of depression tendency from social media posts, which provide assistance for …
identification of depression tendency from social media posts, which provide assistance for …
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 …
Improving the generalizability of depression detection by leveraging clinical questionnaires
Automated methods have been widely used to identify and analyze mental health conditions
(eg, depression) from various sources of information, including social media. Yet …
(eg, depression) from various sources of information, including social media. Yet …
Fair and explainable depression detection in social media
Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is
the same for identifying people suffering from depression. Nowadays, a number of …
the same for identifying people suffering from depression. Nowadays, a number of …
Learning to automate follow-up question generation using process knowledge for depression triage on reddit posts
Conversational Agents (CAs) powered with deep language models (DLMs) have shown
tremendous promise in the domain of mental health. Prominently, the CAs have been used …
tremendous promise in the domain of mental health. Prominently, the CAs have been used …