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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 …
Multi-class categorization of reasons behind mental disturbance in long texts
M Garg - Knowledge-Based Systems, 2023 - Elsevier
Motivated with recent advances in inferring users' mental state in social media posts, we
identify and formulate the problem of finding causal indicators behind mental illness in self …
identify and formulate the problem of finding causal indicators behind mental illness in self …
Explainable AI for mental disorder detection via social media: a survey and outlook
Y Ibrahimov, T Anwar, T Yuan - ar** Long-term Causalities in Psychiatric Symptomatology and Life Events from Social Media
Social media is a valuable data source for exploring mental health issues. However,
previous studies have predominantly focused on the semantic content of these posts …
previous studies have predominantly focused on the semantic content of these posts …
Advancements in multimodal emotion recognition: integrating facial expressions and physiological signals
AD Vairamani - Affective computing for social good: enhancing well …, 2024 - Springer
Multimodal emotion recognition, which combines several modalities including facial
expressions, physiological signs, voice, and gestures to assess and comprehend human …
expressions, physiological signs, voice, and gestures to assess and comprehend human …
The social media psyche: Modeling mental disturbance in the digital age
M Garg - The software principles of design for data modeling, 2023 - igi-global.com
Amid the pandemic, people express the cause and consequences of their mental
disturbance on social media platforms with ease. The causal analysis through cause …
disturbance on social media platforms with ease. The causal analysis through cause …
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
The COVID-19 pandemic has escalated mental health crises worldwide, with social isolation
and economic instability contributing to a rise in suicidal behavior. Suicide can result from …
and economic instability contributing to a rise in suicidal behavior. Suicide can result from …
A Prototypical Classifier with Boosting Augmented Redundancy Detector for Causal Analysis of Mental Health over Social Media
Online social media are frequently used by people as a way of expressing their thoughts
and feelings. Among the vast amounts of online posts, there may be more concerning ones …
and feelings. Among the vast amounts of online posts, there may be more concerning ones …