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Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey
16 references·5 citing·51 second hop
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(1993)The international personality item pool and the future of public-domain personality measures (2005)Manifestations of user personality in website choice and behaviour on online social networks (2013)How do people compare themselves with others on social network sites?: The case of Facebook (2014)Uses and Gratifications of Problematic Social Media Use Among University Students: a Simultaneous Examination of the Big Five of Personality Traits, Social Media Platforms, and Social Media Use Motives (2018)The CES-D Scale (1977)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)Reducing Suicide--A National Imperative (2002)The Columbia–Suicide Severity Rating Scale: Initial Validity and Internal Consistency Findings From Three Multisite Studies With Adolescents and Adults (2011)Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial (2012)Natural language processing in mental health applications using non-clinical texts (2017)Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. 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(1984)Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions (2020)Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020)Clinical diagnosis of depression in primary care: a meta-analysis (2009)Global variation in the prevalence and incidence of major depressive disorder: a systematic review of the epidemiological literature (2012)Who is the "Human" in Human-Centered Machine Learning (2019)Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)Using Social Media for Mental Health Surveillance (2020)An Inventory for Measuring Depression (1961)Diagnostic and Statistical Manual of Mental Disorders (2013)A textual-based featuring approach for depression detection using machine learning classifiers and social media texts (2021)Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media (2022)RETRACTED: Deep Learning for Depression Detection from Textual Data (2022)The Hospital Anxiety and Depression Scale (1983)Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Methods in predictive techniques for mental health status on social media: a critical review (2020)Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis (2007)Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010 (2013)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)SenseMood: Depression Detection on Social Media (2020)Deep learning for depression recognition with audiovisual cues: A review (2021)Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model (2022)Qualitative Data Analysis with NVivo (2007)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Qualitative data analysis with NVIVO (2014)Deep learning for misinformation detection on online social networks: a survey and new perspectives (2020)Natural language processing applied to mental illness detection: a narrative review (2022)
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References

  • 2004Procedures for Performing Systematic Reviews5,198 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2017Detecting depression and mental illness on social media: an integrative review722 cited
  • 2013Social media as a measurement tool of depression in populations497 cited
  • 2018Depression detection from social network data using machine learning techniques465 cited
  • 2015Detecting suicidality on Twitter439 cited
  • 2017Forecasting the onset and course of mental illness with Twitter data401 cited
  • 2017Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution401 cited
  • 2012Personality and patterns of Facebook usage381 cited
  • 2018Detecting Depression with Audio/Text Sequence Modeling of Interviews350 cited
  • 2015Recognizing Depression from Twitter Activity349 cited
  • 2018Deep Learning for Depression Detection of Twitter Users345 cited
  • 2017Depression and Self-Harm Risk Assessment in Online Forums338 cited
  • 2016DepAudioNet299 cited
  • 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences292 cited

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  • 2021MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech290 cited
  • Cited by

    • 2024Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns58 cited
    • 2025Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques58 cited
    • 2025THE BEHAVIOR ANALYSIS OF DEEP LEARNING MODEL IN THE TREATMENT OF DEPRESSION RESEARCH2 cited
    • 2026Applicable Scenarios, Desired Features, and Risks of AI Psychotherapists in Depression Treatment From the Patient’s Perspective: Exploratory Qualitative Study1 cited
    • 2026A scoping review on conversational AI in mental health: A human-centered perspective1 cited