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OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
15 references·1 citing·41 second hop
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models (2022)OPI@LT-EDI-ACL2022: Detecting Signs of De…Text-based Depression Detection on Social Media Posts: A Systematic Literature Review (2021)Text-based Depression Detecti…Predicting Depression via Social Media (2021)Predicting Depression via Soc…DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media (2021)DepressionNet: Learning Multi…Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (2021)Deep Learning for Suicide and…SenseMood: Depression Detection on Social Media (2020)SenseMood: Depression Detecti…Overview of eRisk 2020: Early Risk Prediction on the Internet (2020)Overview of eRisk 2020: Early…Mining Twitter Data for Depression Detection (2019)Mining Twitter Data for Depre…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Detection of Depression-Relat…Identifying Depression on Reddit: The Effect of Training Data (2018)Identifying Depression on Red…Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP (2018)Detecting Linguistic Traces o…Recognizing Depression from Twitter Activity (2015)Recognizing Depression from T…CLPsych 2015 Shared Task: Depression and PTSD on Twitter (2015)CLPsych 2015 Shared Task: Dep…DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS, FIFTH EDITION (2013)DIAGNOSTIC AND STATISTICAL MA…An Inventory for Measuring Depression (1961)An Inventory for Measuring De…Exploring the efficacy and potential of large language models for depression: A systematic review (2024)Exploring the efficacy and po…Kaplan & Sadock's Comprehensive Textbook of Psychiatry (2000)Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders (2010)Adverse Health Consequences of Performance-Enhancing Drugs: An Endocrine Society Scientific Statement (2013)Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for the treatment of eating disorders (2014)Systematic review and meta-analysis of transdiagnostic psychological treatments for anxiety and depressive disorders in adulthood (2015)A Self-Rating Depression Scale (1965)The CES-D Scale (1977)Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)A text classification framework for simple and effective early depression detection over social media streams (2019)Mental-LLM (2024)Language use of depressed and depression-vulnerable college students (2004)Quantifying Mental Health Signals in Twitter (2014)Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences (2018)Coping, stress, and social resources among adults with unipolar depression. (1984)The Epidemiology of Major Depressive Disorder (2003)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)Linguistic Inquiry and Word Count (LIWC) (2012)Depression Is the Leading Cause of Disability Around the World (2017)AI in mental health (2020)MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare (2022)Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)Forecasting the onset and course of mental illness with Twitter data (2017)Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN (2022)Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media (2023)An attention-based CNN-BiLSTM model for depression detection on social media text (2024)The PHQ-8 as a measure of current depression in the general population (2008)Instagram photos reveal predictive markers of depression (2017)Detecting Depression with Audio/Text Sequence Modeling of Interviews (2018)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Mental Health Analysis in Social Media Posts: A Survey (2023)Towards Interpretable Mental Health Analysis with Large Language Models (2023)Diagnostic and Statistical Manual of Mental Disorders (2012)Diagnostic and Statistical Manual of Mental Disorders (2013)TAMFN: Time-Aware Attention Multimodal Fusion Network for Depression Detection (2022)Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review (2023)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)The PHQ-9 (2001)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)
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References

  • 1961An Inventory for Measuring Depression38,018 cited
  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2013DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS, FIFTH EDITION1,460 cited
  • 2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
  • 2015Recognizing Depression from Twitter Activity349 cited
  • 2015CLPsych 2015 Shared Task: Depression and PTSD on Twitter329 cited
  • 2020SenseMood: Depression Detection on Social Media168 cited
  • 2018Identifying Depression on Reddit: The Effect of Training Data121 cited
  • 2021DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media115 cited
  • 2021Text-based Depression Detection on Social Media Posts: A Systematic Literature Review89 cited
  • 2018Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP77 cited
  • 2019Mining Twitter Data for Depression Detection76 cited
  • 2021Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction68 cited
  • 2020

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Overview of eRisk 2020: Early Risk Prediction on the Internet
62 cited

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  • 2024Exploring the efficacy and potential of large language models for depression: A systematic review52 cited