[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review

T Zhang, AM Schoene, S Ji, S Ananiadou - NPJ digital medicine, 2022 - nature.com
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 …

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 …

Fair and explainable depression detection in social media

V Adarsh, PA Kumar, V Lavanya… - Information Processing & …, 2023 - Elsevier
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 …

[HTML][HTML] Depression detection on reddit with an emotion-based attention network: algorithm development and validation

L Ren, H Lin, B Xu, S Zhang, L Yang… - JMIR medical …, 2021 - medinform.jmir.org
Background As a common mental disease, depression seriously affects people's physical
and mental health. According to the statistics of the World Health Organization, depression is …

It's just a matter of time: Detecting depression with time-enriched multimodal transformers

AM Bucur, A Cosma, P Rosso, LP Dinu - European Conference on …, 2023 - Springer
Depression detection from user-generated content on the internet has been a long-lasting
topic of interest in the research community, providing valuable screening tools for …

Early depression detection in social media based on deep learning and underlying emotions

JSL Figuerêdo, ALLM Maia, RT Calumby - Online Social Networks and …, 2022 - Elsevier
Depression is a challenge to public health, frequently related to disability and one of the
reasons that lead to suicide. Many of the ones who suffer depression use social media to …

[HTML][HTML] Emotion-based reinforcement attention network for depression detection on social media: Algorithm development and validation

B Cui, J Wang, H Lin, Y Zhang, L Yang… - JMIR Medical …, 2022 - medinform.jmir.org
Background Depression detection has recently received attention in the field of natural
language processing. The task aims to detect users with depression based on their historical …

CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection

L Zhou, Z Liu, X Yuan, Z Shangguan, Y Li, B Hu - Digital Signal Processing, 2023 - Elsevier
Depression is a globally widespread psychological disorder that has a serious impact on the
physical and mental health of patients. Currently, depression detection methods based on …

Multi-Explainable TemporalNet: An Interpretable Multimodal Approach using Temporal Convolutional Network for User-level Depression Detection

A Zafar, D Aftab, R Qureshi… - Proceedings of the …, 2024 - openaccess.thecvf.com
Multimodal depression detection through internet-based data such as social media
platforms has been an important problem in the research community aiming to predict …

Predicting mental health using social media: A roadmap for future development

R Safa, SA Edalatpanah, A Sorourkhah - Deep learning in personalized …, 2023 - Elsevier
Mental disorders such as depression and suicidal ideation are hazardous, affecting more
than 300 million people over the world. However, on social media, mental disorder …