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XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks
16 references·1 citing·43 second hop
XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks (2023)XAI Transformer based Approach for Interp…Natural language processing applied to mental illness detection: a narrative review (2022)Natural language processing a…MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare (2022)MentalBERT: Publicly Availabl…Predicting Depression via Social Media (2021)Predicting Depression via Soc…A deep learning model for detecting mental illness from user content on social media (2020)A deep learning model for det…Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Detection of Depression-Relat…Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences (2018)Utilizing Neural Networks and…Supervised Learning for Suicidal Ideation Detection in Online User Content (2018)Supervised Learning for Suici…Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings (2018)Expert, Crowdsourced, and Mac…Deep Learning for Depression Detection of Twitter Users (2018)Deep Learning for Depression …Diagnostic and Statistical Manual of Mental Disorders (DSM) (2017)Diagnostic and Statistical Ma…Depression and Self-Harm Risk Assessment in Online Forums (2017)Depression and Self-Harm Risk…Characterisation of mental health conditions in social media using Informed Deep Learning (2017)Characterisation of mental he…Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Discovering Shifts to Suicida…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Measuring Post Traumatic Stress Disorder in Twitter (2014)Measuring Post Traumatic Stre…17. A Value for n-Person Games (1953)17. 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References

  • 195317. A Value for n-Person Games6,944 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2017Diagnostic and Statistical Manual of Mental Disorders (DSM)748 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2016Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media683 cited
  • 2022Natural language processing applied to mental illness detection: a narrative review474 cited
  • 2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
  • 2018Deep Learning for Depression Detection of Twitter Users345 cited
  • 2017Depression and Self-Harm Risk Assessment in Online Forums338 cited
  • 2014Measuring Post Traumatic Stress Disorder in Twitter316 cited
  • 2020A deep learning model for detecting mental illness from user content on social media303 cited
  • 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences292 cited
  • 2017Characterisation of mental health conditions in social media using Informed Deep Learning240 cited
  • 2022MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare231 cited
  • 2018Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings

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218 cited
  • 2018Supervised Learning for Suicidal Ideation Detection in Online User Content212 cited
  • Cited by

    • 2025Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques58 cited