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Suicide ideation detection from online social media: A multi-modal feature based technique
16 references·1 citing·51 second hopsampled
Suicide ideation detection from online social media: A multi-modal feature based technique (2022)Suicide ideation detection from online so…Applications of text mining in services management: A systematic literature review (2021)Applications of text mining i…Applications of big data in emerging management disciplines: A literature review using text mining (2021)Applications of big data in e…Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)Suicidal Ideation Detection: …Early Detection of Depression: Social Network Analysis and Random Forest Techniques (2019)Early Detection of Depression…Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Detection of Depression-Relat…Supervised Learning for Suicidal Ideation Detection in Online User Content (2018)Supervised Learning for Suici…Suicide and Youth: Risk Factors (2018)Suicide and Youth: Risk Facto…Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)Researching Mental Health Dis…Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution (2017)Depression Detection via Harv…Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid (2016)Novel Use of Natural Language…Recognizing Depression from Twitter Activity (2015)Recognizing Depression from T…From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses (2015)From ADHD to SAD: Analyzing t…Detecting suicidality on Twitter (2015)Detecting suicidality on Twit…Towards Assessing Changes in Degree of Depression through Facebook (2014)Towards Assessing Changes in …Affective and Content Analysis of Online Depression Communities (2014)Affective and Content Analysi…Suicide and Suicidal Behavior (2008)Suicide and Suicidal BehaviorA Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media (2023)A Multimodal Framework for De…An Inventory for Measuring Depression (1961)A Self-Rating Depression Scale (1965)The CES-D Scale (1977)Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Social Networking Sites, Depression, and Anxiety: A Systematic Review (2016)Detecting depression and mental illness on social media: an integrative review (2017)Prevalence, Severity, and Unmet Need for Treatment of Mental Disorders in the World Health Organization World Mental Health Surveys (2004)The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) (2004)Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Prevalence, Correlates, and Treatment of Lifetime Suicidal Behavior Among Adolescents (2013)Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. 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References

  • 2008Suicide and Suicidal Behavior3,118 cited
  • 2018Suicide and Youth: Risk Factors654 cited
  • 2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
  • 2015Detecting suicidality on Twitter439 cited
  • 2017Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution401 cited
  • 2015Recognizing Depression from Twitter Activity349 cited
  • 2015From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses342 cited
  • 2021Applications of text mining in services management: A systematic literature review331 cited
  • 2017Researching Mental Health Disorders in the Era of Social Media: Systematic Review268 cited
  • 2020Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications264 cited
  • 2014Towards Assessing Changes in Degree of Depression through Facebook256 cited
  • 2021Applications of big data in emerging management disciplines: A literature review using text mining255 cited
  • 2014Affective and Content Analysis of Online Depression Communities225 cited
  • 2018Supervised Learning for Suicidal Ideation Detection in Online User Content212 cited
  • 2019Early Detection of Depression: Social Network Analysis and Random Forest Techniques

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206 cited
  • 2016Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid176 cited
  • Cited by

    • 2023A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media40 cited