[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 …

Using social media for mental health surveillance: a review

R Skaik, D Inkpen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

Machine learning algorithms for depression: diagnosis, insights, and research directions

S Aleem, N Huda, R Amin, S Khalid, SS Alshamrani… - Electronics, 2022 - mdpi.com
Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense
psychological effects on people's minds worldwide. The global technological development …

Discourse-level representations can improve prediction of degree of anxiety

S Juhng, M Matero, V Varadarajan… - Proceedings of the …, 2023 - aclanthology.org
Anxiety disorders are the most common of mental illnesses, but relatively little is known
about how to detect them from language. The primary clinical manifestation of anxiety is …

Depression detection on social media with the aid of machine learning platform: A comprehensive survey

GK Gupta, DK Sharma - 2021 8th International Conference on …, 2021 - ieeexplore.ieee.org
Depression is a group of mental disorders associated with certain factors which can affect
the mood, feelings, negativity, losing interest, and sadness in human participants. To …

[HTML][HTML] Decoding depression: Analyzing social network insights for depression severity assessment with transformers and explainable AI

T Ahmed, S Ivan, A Munir, S Ahmed - Natural Language Processing …, 2024 - Elsevier
Depression is a mental state characterized by recurrent feelings of melancholy,
hopelessness, and disinterest in activities, having a significant negative influence on …

Mental Health Prediction Model on Social Media Data Using CNN-BiLSTM

DH Fudholi - Kinetik: Game Technology, Information System …, 2024 - kinetik.umm.ac.id
Social media has transformed into a global platform for expression and interaction where
users can share photos, images, and videos. The rapid development and widespread use of …

Textual Mental Illness Detection from Social Media Using Deep Learning

T Zhang - 2024 - search.proquest.com
Mental illnesses are one of the most prevalent public health issues, and social media is a
primary source through which young people express their mental states and feelings …

Is a Lack of Digital Skills Keeping People from Receiving Emotional Support? Investigating the Digital Skills of Depressed Individuals Seeking Support in Online …

J King - 2024 - search.proquest.com
Millions of US Americans suffer from major depressive disorder, which is characterized as
persistent feelings of sadness, fatigue, and thoughts of death or suicide, among other things …

Computational Language Analysis as a Window into Cognitive Functioning

PW Foltz, C Chandler - The Routledge International Handbook of … - taylorfrancis.com
The technological basis of automated essay evaluation is used in other domains for
assessing language-based responses. In general, these technologies assess knowledge …