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Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
8 references·16 citing·42 second hop
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution (2017)Depression Detection via Harvesting Socia…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Diagnostic and Statistical Manual of Mental Disorders (2014)Diagnostic and Statistical Ma…Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Ma…Diagnostic and Statistical Manual of Mental Disorders(DSM) (2008)Diagnostic and Statistical Ma…Affective Norms for English Words (ANEW): Instruction manual and affective ratings (1999)Affective Norms for English W…The CES-D Scale (1977)The CES-D ScaleAn Inventory for Measuring Depression (1961)An Inventory for Measuring De…Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)Machine Learning for Multimod…Mental Health Analysis in Social Media Posts: A Survey (2023)Mental Health Analysis in Soc…Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Depression Detection From Soc…RETRACTED: Deep Learning for Depression Detection from Textual Data (2022)RETRACTED: Deep Learning for …Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media (2022)Explainable depression detect…Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model (2022)Depression Detection from Soc…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…Depression Intensity Estimation via Social Media: A Deep Learning Approach (2021)Depression Intensity Estimati…An emotion and cognitive based analysis of mental health disorders from social media data (2021)An emotion and cognitive base…A textual-based featuring approach for depression detection using machine learning classifiers and social media texts (2021)A textual-based featuring app…Using Social Media for Mental Health Surveillance (2020)Using Social Media for Mental…Multimodal mental health analysis in social media (2020)Multimodal mental health anal…Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)Machine Learning-Based Approa…Who is the "Human" in Human-Centered Machine Learning (2019)Who is the "Human" in Human-C…Multi-level Attention Network using Text, Audio and Video for Depression Prediction (2019)Multi-level Attention Network…Cooperative Multimodal Approach to Depression Detection in Twitter (2019)Cooperative Multimodal Approa…A new scale of social desirability independent of psychopathology. 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this work references cited by second hop

References

  • 2013Diagnostic and Statistical Manual of Mental Disorders109,522 cited
  • 1977The CES-D Scale53,239 cited
  • 1961An Inventory for Measuring Depression38,018 cited
  • 2008Diagnostic and Statistical Manual of Mental Disorders(DSM)10,830 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 1999Affective Norms for English Words (ANEW): Instruction manual and affective ratings1,435 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2014Diagnostic and Statistical Manual of Mental Disorders562 cited

Cited by

  • 2022RETRACTED: Deep Learning for Depression Detection from Textual Data248 cited
  • 2021A textual-based featuring approach for depression detection using machine learning classifiers and social media texts231 cited
  • 2022Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media199 cited
  • 2020Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features193 cited
  • 2022An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM178 cited
  • 2019Who is the "Human" in Human-Centered Machine Learning172 cited

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2024
Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches
153 cited
  • 2020Using Social Media for Mental Health Surveillance147 cited
  • 2019Multi-level Attention Network using Text, Audio and Video for Depression Prediction146 cited
  • 2021Depression Intensity Estimation via Social Media: A Deep Learning Approach145 cited
  • 2023Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey142 cited
  • 2021An emotion and cognitive based analysis of mental health disorders from social media data140 cited
  • 2022Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model139 cited
  • 2023Mental Health Analysis in Social Media Posts: A Survey135 cited
  • 2020Multimodal mental health analysis in social media133 cited
  • 2019Cooperative Multimodal Approach to Depression Detection in Twitter131 cited