[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 …
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 …
[HTML][HTML] Depression detection on reddit with an emotion-based attention network: algorithm development and validation
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 …
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
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 …
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 …
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
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 …
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
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 …
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
Multimodal depression detection through internet-based data such as social media
platforms has been an important problem in the research community aiming to predict …
platforms has been an important problem in the research community aiming to predict …
Predicting mental health using social media: A roadmap for future development
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 …
than 300 million people over the world. However, on social media, mental disorder …