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DEPTWEET: A typology for social media texts to detect depression severities
16 references·2 citing·45 second hop
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A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (2018)Proceedings of the 2018 CHI C…DSM-5 Criteria and Depression Severity: Implications for Clinical Practice (2018)DSM-5 Criteria and Depression…Culture and Economy in the Age of Social Media (2015)Culture and Economy in the Ag…Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter (2015)Beyond LDA: Exploring Supervi…Towards Assessing Changes in Degree of Depression through Facebook (2014)Towards Assessing Changes in …Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Handbook of Inter-Rater Reliability: The Definitive Guide to Measuring the Extent of Agreement Among Raters (2014)Handbook of Inter-Rater Relia…Social media as a measurement tool of depression in populations (2013)Social media as a measurement…Diagnostic and Statistical Manual of Mental Disorders(DSM) (2008)Diagnostic and Statistical Ma…The PHQ-9 (2001)The PHQ-9The CES-D Scale (1977)The CES-D ScaleHarnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks (2024)Harnessing the Power of Huggi…Depression detection in social media posts using transformer-based models and auxiliary features (2024)Depression detection in socia…The Epidemiology of Major Depressive Disorder (2003)Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Internet Research in Psychology (2014)Psychological Language on Twitter Predicts County-Level Heart Disease Mortality (2015)Social Networking Sites, Depression, and Anxiety: A Systematic Review (2016)A new scale of social desirability independent of psychopathology. 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References

  • 1977The CES-D Scale53,239 cited
  • 2001The PHQ-944,795 cited
  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2008Diagnostic and Statistical Manual of Mental Disorders(DSM)10,830 cited
  • 2020Impact of COVID-19 and lockdown on mental health of children and adolescents: A narrative review with recommendations1,726 cited
  • 2014Handbook of Inter-Rater Reliability: The Definitive Guide to Measuring the Extent of Agreement Among Raters1,097 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2018Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems569 cited
  • 2013Social media as a measurement tool of depression in populations497 cited
  • 2019The digital revolution and its impact on mental health care441 cited
  • 2020Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study339 cited
  • 2015Culture and Economy in the Age of Social Media336 cited
  • 2020A deep learning model for detecting mental illness from user content on social media303 cited
  • 2018DSM-5 Criteria and Depression Severity: Implications for Clinical Practice297 cited

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2014
Towards Assessing Changes in Degree of Depression through Facebook
256 cited
  • 2015Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter249 cited
  • Cited by

    • 2024Depression detection in social media posts using transformer-based models and auxiliary features71 cited
    • 2024Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks64 cited