SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
An attention-based CNN-BiLSTM model for depression detection on social media text
16 references·1 citing·53 second hop
An attention-based CNN-BiLSTM model for depression detection on social media text (2024)An attention-based CNN-BiLSTM model for d…Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)Proceedings of the 45th Inter…An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM (2022)An hybrid deep learning appro…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)Machine Learning-Based Approa…Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Detection of Depression-Relat…A text classification framework for simple and effective early depression detection over social media streams (2019)A text classification framewo…Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences (2018)Utilizing Neural Networks and…Depression detection from social network data using machine learning techniques (2018)Depression detection from soc…Deep Learning for Depression Detection of Twitter Users (2018)Deep Learning for Depression …Predicting Depression Levels Using Social Media Posts (2017)Predicting Depression Levels …Detecting depression and mental illness on social media: an integrative review (2017)Detecting depression and ment…STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration (2016)STARD 2015 guidelines for rep…A Test Collection for Research on Depression and Language Use (2016)A Test Collection for Researc…Recognition of Depression by Non-psychiatric Physicians—A Systematic Literature Review and Meta-analysis (2007)Recognition of Depression by …Depression screening: a practical strategy. (2003)Depression screening: a pract…Depression, self-focused attention, and expectancies for positive and negative future life events for self and others. (1987)Depression, self-focused atte…Optimizing ESG reporting: Innovating with E-BERT models in nature language processing (2024)Optimizing ESG reporting: Inn…Availability: A heuristic for judging frequency and probability (1973)Learned helplessness in humans: Critique and reformulation. (1978)Unrealistic optimism about future life events. (1980)Ruminative coping with depressed mood following loss. (1994)Do Moderators of the Optimistic Bias Affect Personal or Target Risk Estimates? A Review of the Literature (2001)Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health (2016)Online Social Networks: Why We Disclose (2010)Why Youth Heart Social Network Sites: The Role of Networked Publics in Teenage Social Life (2017)Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs (2019)Adapt and overcome: Perceptions of adaptive autonomous agents for human-AI teaming (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)Understanding AI tool engagement: A study of ChatGPT usage and word-of-mouth among university students and office workers (2023)Meta-analysis in clinical trials (1986)The Handbook of Research Synthesis. (1995)Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study (1997)A study of the diagnostic accuracy of the PHQ-9 in primary care elderly (2010)Prevalence of comorbid depression and obesity in general practice: a cross-sectional survey (2014)Long-term follow-up of psilocybin-assisted psychotherapy for psychiatric and existential distress in patients with life-threatening cancer (2020)The CES-D Scale (1977)Coping, stress, and social resources among adults with unipolar depression. (1984)The Epidemiology of Major Depressive Disorder (2003)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)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (2018)Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist (2020)Development and validation of a risk-of-bias tool for assessing in vitro studies conducted in dentistry: The QUIN (2022)The Hospital Anxiety and Depression Scale (1983)Diagnostic and Statistical Manual of Mental Disorders (2013)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)Psychological Aspects of Natural Language Use: Our Words, Our Selves (2002)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)A hybrid model for depression detection using deep learning (2022)Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media (2022)Diagnostic and Statistical Manual of Mental Disorders (2012)Quantifying Mental Health Signals in Twitter (2014)Detection of Suicide Ideation in Social Media Forums Using Deep Learning (2019)Using Social Media for Mental Health Surveillance (2020)RETRACTED: Deep Learning for Depression Detection from Textual Data (2022)Qualitative Data Analysis with NVivo (2007)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)Language use of depressed and depression-vulnerable college students (2004)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-LLM (2024)
this work references cited by second hop

References

  • 2016STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration2,564 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2022Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval907 cited
  • 2017Detecting depression and mental illness on social media: an integrative review722 cited
  • 2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
  • 2018Depression detection from social network data using machine learning techniques465 cited
  • 2007Recognition of Depression by Non-psychiatric Physicians—A Systematic Literature Review and Meta-analysis391 cited
  • 2018Deep Learning for Depression Detection of Twitter Users345 cited
  • 1987Depression, self-focused attention, and expectancies for positive and negative future life events for self and others.303 cited
  • 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences292 cited
  • 2016A Test Collection for Research on Depression and Language Use240 cited
  • 2019A text classification framework for simple and effective early depression detection over social media streams216 cited
  • 2020Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features193 cited
  • 2022

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
178 cited
  • 2003Depression screening: a practical strategy.177 cited
  • 2017Predicting Depression Levels Using Social Media Posts174 cited
  • Cited by

    • 2024Optimizing ESG reporting: Innovating with E-BERT models in nature language processing39 cited