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Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction
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Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (2021)Deep Learning for Suicide and Depression …Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)Suicidal Ideation Detection: …Detecting Anxiety through Reddit (2017)Detecting Anxiety through Red…Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)Mental Health Discourse on re…XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks (2023)XAI Transformer based Approac…OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models (2022)OPI@LT-EDI-ACL2022: Detecting…Stress, social support, and the buffering hypothesis. (1985)Stress, social support, and the buffering hypothesis. (1985)How stigma interferes with mental health care. (2004)Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Understanding Social Media Disclosures of Sexual Abuse Through the Lenses of Support Seeking and Anonymity (2016)Self-disclosure and social media: motivations, mechanisms and psychological well-being (2019)Prevalence, Severity, and Unmet Need for Treatment of Mental Disorders in the World Health Organization World Mental Health Surveys (2004)Lifetime Prevalence of Mental Disorders in U.S. Adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A) (2010)Diagnostic and Statistical Manual of Mental Disorders (2014)Reddit: A Gold Mine for Personality Prediction (2018)An emotion and cognitive based analysis of mental health disorders from social media data (2021)Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model (2022)Cross-national prevalence and risk factors for suicidal ideation, plans and attempts (2008)Bullying, Cyberbullying, and Suicide (2010)The psychology of suicidal behaviour (2014)Suicidal ideation and mental disorder detection with attentive relation networks (2021)Ensemble Hybrid Learning Methods for Automated Depression Detection (2022)MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare (2022)An Inventory for Measuring Depression (1961)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Predicting Depression via Social Media (2021)Exploring the efficacy and potential of large language models for depression: A systematic review (2024)17. A Value for n-Person Games (1953)Diagnostic and Statistical Manual of Mental Disorders (DSM) (2017)Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques (2025)A scoping review on conversational AI in mental health: A human-centered perspective (2026)
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References

  • 2014Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity836 cited
  • 2020Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications264 cited
  • 2017Detecting Anxiety through Reddit217 cited

Cited by

  • 2023XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks62 cited
  • 2022OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models57 cited

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