Methods in predictive techniques for mental health status on social media: a critical review
Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …
outcomes. Computer scientists are now using quantitative techniques to predict the …
Natural language processing of social media as screening for suicide risk
Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …
Facebook language predicts depression in medical records
Depression, the most prevalent mental illness, is underdiagnosed and undertreated,
highlighting the need to extend the scope of current screening methods. Here, we use …
highlighting the need to extend the scope of current screening methods. Here, we use …
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 …
Detecting depression and mental illness on social media: an integrative review
Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …
Characteristic language use patterns associated with depression have been identified and …
Large language models in mental health care: a sco** review
The integration of large language models (LLMs) in mental health care is an emerging field.
There is a need to systematically review the application outcomes and delineate the …
There is a need to systematically review the application outcomes and delineate the …
Deep learning for depression detection of twitter users
AH Orabi, P Buddhitha, MH Orabi… - Proceedings of the fifth …, 2018 - aclanthology.org
Mental illness detection in social media can be considered a complex task, mainly due to the
complicated nature of mental disorders. In recent years, this research area has started to …
complicated nature of mental disorders. In recent years, this research area has started to …
Discovering shifts to suicidal ideation from mental health content in social media
History of mental illness is a major factor behind suicide risk and ideation. However research
efforts toward characterizing and forecasting this risk is limited due to the paucity of …
efforts toward characterizing and forecasting this risk is limited due to the paucity of …
[PDF][PDF] Depression detection via harvesting social media: A multimodal dictionary learning solution.
Depression is a major contributor to the overall global burden of diseases. Traditionally,
doctors diagnose depressed people face to face via referring to clinical depression criteria …
doctors diagnose depressed people face to face via referring to clinical depression criteria …
COVID-19 sentiment analysis via deep learning during the rise of novel cases
Social scientists and psychologists take interest in understanding how people express
emotions and sentiments when dealing with catastrophic events such as natural disasters …
emotions and sentiments when dealing with catastrophic events such as natural disasters …