Methods in predictive techniques for mental health status on social media: a critical review

S Chancellor, M De Choudhury - NPJ digital medicine, 2020 - nature.com
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 …

Natural language processing of social media as screening for suicide risk

G Coppersmith, R Leary… - Biomedical informatics …, 2018 - journals.sagepub.com
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 …

Facebook language predicts depression in medical records

JC Eichstaedt, RJ Smith… - Proceedings of the …, 2018 - National Acad Sciences
Depression, the most prevalent mental illness, is underdiagnosed and undertreated,
highlighting the need to extend the scope of current screening methods. Here, we use …

Detection of depression-related posts in reddit social media forum

MM Tadesse, H Lin, B Xu, L Yang - Ieee Access, 2019 - ieeexplore.ieee.org
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 …

Detecting depression and mental illness on social media: an integrative review

SC Guntuku, DB Yaden, ML Kern, LH Ungar… - Current Opinion in …, 2017 - Elsevier
Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …

Large language models in mental health care: a sco** review

Y Hua, F Liu, K Yang, Z Li, H Na, Y Sheu… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

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 …

Discovering shifts to suicidal ideation from mental health content in social media

M De Choudhury, E Kiciman, M Dredze… - Proceedings of the …, 2016 - dl.acm.org
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 …

[PDF][PDF] Depression detection via harvesting social media: A multimodal dictionary learning solution.

G Shen, J Jia, L Nie, F Feng, C Zhang, T Hu… - IJCAI, 2017 - hcsi.cs.tsinghua.edu.cn
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 …

COVID-19 sentiment analysis via deep learning during the rise of novel cases

R Chandra, A Krishna - PloS one, 2021 - journals.plos.org
Social scientists and psychologists take interest in understanding how people express
emotions and sentiments when dealing with catastrophic events such as natural disasters …