[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 …
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 …
[HTML][HTML] Automatic depression score estimation with word embedding models
Depression is one of the most common mental health illnesses. The biggest obstacle lies in
an efficient and early detection of the disorder. Self-report questionnaires are the …
an efficient and early detection of the disorder. Self-report questionnaires are the …
Trusted commonsense knowledge enhanced depression detection based on three-way decision
J Chen, H Yao, S Zhao, Y Zhang - Expert Systems with Applications, 2025 - Elsevier
Depression detection on social media aims to identify depressive tendencies within textual
posts, providing timely intervention by the early detection of mental health issues. In …
posts, providing timely intervention by the early detection of mental health issues. In …
[PDF][PDF] Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks.
The eRisk track at CLEF 2021 comprised tasks on the detection of problem gambling and
self-harm, and the assessment of the symptoms of depression. RELAI participated in these …
self-harm, and the assessment of the symptoms of depression. RELAI participated in these …
Mindwatch: A smart cloud-based ai solution for suicide ideation detection leveraging large language models
R Bhaumik, V Srivastava, A Jalali, S Ghosh… - MedRxiv, 2023 - medrxiv.org
Suicide, a serious public health concern affecting millions of individuals worldwide, refers to
the intentional act of ending one's own life. Mental health issues such as depression …
the intentional act of ending one's own life. Mental health issues such as depression …
Review of Advancements in Depression Detection Using Social Media Data
A large population embraced social media to share thoughts, emotions, and daily
experiences through text, images, audio, or video posts. This user-generated content (UGC) …
experiences through text, images, audio, or video posts. This user-generated content (UGC) …
Using text classification to estimate the depression level of reddit users
Psychologists have used tests and carefully designed survey questions, such as Beck's
Depression Inventory (BDI), to identify the presence of depression and to assess its severity …
Depression Inventory (BDI), to identify the presence of depression and to assess its severity …
[PDF][PDF] Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models.
This paper describes the participation of the RELAI team in the eRisk 2020 tasks. The 2020
edition of eRisk proposed two tasks:(T1) Early assessment of risk of self-harm and (T2) …
edition of eRisk proposed two tasks:(T1) Early assessment of risk of self-harm and (T2) …