[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 …
Detection of depression-related posts in reddit social media forum
Depression is viewed as the largest contributor to global disability and a major reason for
suicide. It has an impact on the language usage reflected in the written text. The key …
suicide. It has an impact on the language usage reflected in the written text. The key …
Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
A survey of computational methods for online mental state assessment on social media
Mental state assessment by analysing user-generated content is a field that has recently
attracted considerable attention. Today, many people are increasingly utilising online social …
attracted considerable attention. Today, many people are increasingly utilising online social …
[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 …
Ensemble hybrid learning methods for automated depression detection
Changes in human lifestyle have led to an increase in the number of people suffering from
depression over the past century. Although in recent years, rates of diagnosing mental …
depression over the past century. Although in recent years, rates of diagnosing mental …
[HTML][HTML] Suicide ideation detection from online social media: A multi-modal feature based technique
According to an estimate of World Health Organization, each year approximately 700,000
people die by suicide, with many more contemplating suicide. Early detection of suicidal …
people die by suicide, with many more contemplating suicide. Early detection of suicidal …
[PDF][PDF] Feature based depression detection from twitter data using machine learning techniques
The statistics presented by the World Health Organization attribute depression to be a
primary cause of concern globally, leading to suicide in the majority of the cases if left …
primary cause of concern globally, leading to suicide in the majority of the cases if left …
TAM-SenticNet: A Neuro-Symbolic AI approach for early depression detection via social media analysis
R Dou, X Kang - Computers and Electrical Engineering, 2024 - Elsevier
This paper introduces TAM-SenticNet, a Neuro-Symbolic AI framework uniquely designed
for early depression detection through social media content analysis. Merging neural …
for early depression detection through social media content analysis. Merging neural …