[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 …
Using social media for mental health surveillance: a review
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 …
data may also support standard surveillance approaches and provide decision-makers with …
Machine learning algorithms for depression: diagnosis, insights, and research directions
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 …
psychological effects on people's minds worldwide. The global technological development …
Discourse-level representations can improve prediction of degree of anxiety
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 …
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
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 …
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
Depression is a mental state characterized by recurrent feelings of melancholy,
hopelessness, and disinterest in activities, having a significant negative influence on …
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 …
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 …
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 …
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 …
assessing language-based responses. In general, these technologies assess knowledge …