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Depression Detection on Reddit With an Emotion-Based Attention Network: Algorithm Development and Validation
14 references·3 citing·41 second hop
Depression Detection on Reddit With an Emotion-Based Attention Network: Algorithm Development and Validation (2021)Depression Detection on Reddit With an Em…Overview of eRisk 2019 Early Risk Prediction on the Internet (2019)Overview of eRisk 2019 Early …Multi-level Attention Network using Text, Audio and Video for Depression Prediction (2019)Multi-level Attention Network…Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Detection of Depression-Relat…Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences (2018)Utilizing Neural Networks and…Identifying Depression on Reddit: The Effect of Training Data (2018)Identifying Depression on Red…Deep Learning for Depression Detection of Twitter Users (2018)Deep Learning for Depression …eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations (2017)eRISK 2017: CLEF Lab on Early…Depression Is the Leading Cause of Disability Around the World (2017)Depression Is the Leading Cau…Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution (2017)Depression Detection via Harv…Depression and Self-Harm Risk Assessment in Online Forums (2017)Depression and Self-Harm Risk…Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Discovering Shifts to Suicida…From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses (2015)From ADHD to SAD: Analyzing t…Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter (2015)Beyond LDA: Exploring Supervi…Commentary: Suicide as Psychache (1993)Commentary: Suicide as Psycha…XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks (2023)XAI Transformer based Approac…MHA: a multimodal hierarchical attention model for depression detection in social media (2023)MHA: a multimodal hierarchica…A Systematic Review of Ethics Disclosures in Predictive Mental Health Research (2023)A Systematic Review of Ethics…Linguistic styles: Language use as an individual difference. 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References

  • 2017Depression Is the Leading Cause of Disability Around the World1,458 cited
  • 1993Commentary: Suicide as Psychache775 cited
  • 2016Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media683 cited
  • 2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
  • 2017Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution401 cited
  • 2018Deep Learning for Depression Detection of Twitter Users345 cited
  • 2015From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses342 cited
  • 2017Depression and Self-Harm Risk Assessment in Online Forums338 cited
  • 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences292 cited
  • 2015Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter249 cited
  • 2017eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations163 cited
  • 2019Multi-level Attention Network using Text, Audio and Video for Depression Prediction146 cited
  • 2018Identifying Depression on Reddit: The Effect of Training Data121 cited
  • 2019Overview of eRisk 2019 Early Risk Prediction on the Internet118 cited

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Cited by

  • 2023MHA: a multimodal hierarchical attention model for depression detection in social media64 cited
  • 2023XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks62 cited
  • 2023A Systematic Review of Ethics Disclosures in Predictive Mental Health Research15 cited