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Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques
16 references·0 citing·53 second hopsampled
Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques (2022)Leveraging Reddit for Suicidal Ideation D…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)Suicidal Ideation Detection: …Methods in predictive techniques for mental health status on social media: a critical review (2020)Methods in predictive techniq…A machine learning approach predicts future risk to suicidal ideation from social media data (2020)A machine learning approach p…Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention (2019)Knowledge-aware Assessment of…Detection of Suicide Ideation in Social Media Forums Using Deep Learning (2019)Detection of Suicide Ideation…Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value (2019)Association between suicidal …Supervised Learning for Suicidal Ideation Detection in Online User Content (2018)Supervised Learning for Suici…Natural Language Processing of Social Media as Screening for Suicide Risk (2018)Natural Language Processing o…Facebook language predicts depression in medical records (2018)Facebook language predicts de…Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings (2018)Expert, Crowdsourced, and Mac…Instagram photos reveal predictive markers of depression (2017)Instagram photos reveal predi…Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality (2016)Validating Machine Learning A…Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. (2016)Risk factors for suicidal tho…The psychology of suicidal behaviour (2014)The psychology of suicidal be…The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)The Psychological Meaning of …Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC) (2003)Suicide: A study in sociology. (2004)The interpersonal theory of suicide. (2010)Suicide and suicidal behaviour (2015)Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science (2020)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Conflict, arousal, and curiosity. (1960)Measuring individual differences in implicit cognition: The implicit association test. (1998)Measuring individual differences in implicit cognition: The implicit association test. (1998)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Linguistic Inquiry and Word Count (LIWC) (2012)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)The CES-D Scale (1977)Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) (2000)Diagnostic and Statistical Manual of Mental Disorders (2013)Forecasting the onset and course of mental illness with Twitter data (2017)Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020)The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality (2021)The Structure of Scientific Revolutions (1963)Measuring inconsistency in meta-analyses (2003)The interpersonal theory of suicide: A systematic review and meta-analysis of a decade of cross-national research. (2017)The integrated motivational–volitional model of suicidal behaviour (2018)Introduction to Meta‐Analysis (2021)Assessment of suicidal intention: The Scale for Suicide Ideation. (1979)Nudge: improving decisions about health, wealth, and happiness (2008)Gender equality in science, medicine, and global health: where are we at and why does it matter? (2019)AI in mental health (2020)Mental-LLM (2024)The Epidemiology of Major Depressive Disorder (2003)Prevalence, Severity, and Unmet Need for Treatment of Mental Disorders in the World Health Organization World Mental Health Surveys (2004)Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Cross-national prevalence and risk factors for suicidal ideation, plans and attempts (2008)Bullying, Cyberbullying, and Suicide (2010)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)Hopelessness and Suicidal Behavior (1975)Differentiating Suicide Attempters from Suicide Ideators: A Critical Frontier for Suicidology Research (2013)Using Social Media for Mental Health Surveillance (2020)Predicting Depression via Social Media (2021)Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models (2022)Mental Health Analysis in Social Media Posts: A Survey (2023)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Fairness and Abstraction in Sociotechnical Systems (2019)A New Benchmark for Mental Health Systems (2021)Natural language processing applied to mental illness detection: a narrative review (2022)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)PRISMA2020 : An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis (2022)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews119,202 cited
  • 2009The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods6,078 cited
  • 2016Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.4,084 cited
  • 2014The psychology of suicidal behaviour1,345 cited
  • 2018Facebook language predicts depression in medical records691 cited
  • 2020Methods in predictive techniques for mental health status on social media: a critical review553 cited
  • 2017Instagram photos reveal predictive markers of depression519 cited
  • 2018Natural Language Processing of Social Media as Screening for Suicide Risk505 cited
  • 2020Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications264 cited
  • 2019Detection of Suicide Ideation in Social Media Forums Using Deep Learning250 cited
  • 2018Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings218 cited
  • 2018Supervised Learning for Suicidal Ideation Detection in Online User Content212 cited
  • 2019Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value212 cited
  • 2020A machine learning approach predicts future risk to suicidal ideation from social media data

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208 cited
  • 2016Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality193 cited
  • 2019Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention193 cited
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