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Depression detection for twitter users using sentiment analysis in English and Arabic tweets
16 references·0 citing·50 second hop
Depression detection for twitter users using sentiment analysis in English and Arabic tweets (2023)Depression detection for twitter users us…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…Deep learning for prediction of depressive symptoms in a large textual dataset (2021)Deep learning for prediction …Automatic detection of depression symptoms in twitter using multimodal analysis (2021)Automatic detection of depres…A textual-based featuring approach for depression detection using machine learning classifiers and social media texts (2021)A textual-based featuring app…SenseMood: Depression Detection on Social Media (2020)SenseMood: Depression Detecti…Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)Machine Learning-Based Approa…Early Depression Detection from Social Network Using Deep Learning Techniques (2020)Early Depression Detection fr…Detecting Arabic Depressed Users from Twitter Data (2019)Detecting Arabic Depressed Us…Deep Learning for Depression Detection of Twitter Users (2018)Deep Learning for Depression …Monitoring Tweets for Depression to Detect At-risk Users (2017)Monitoring Tweets for Depress…Forecasting the onset and course of mental illness with Twitter data (2017)Forecasting the onset and cou…Identifying Depression on Twitter (2016)Identifying Depression on Twi…Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)Mental Health Discourse on re…Measuring Post Traumatic Stress Disorder in Twitter (2014)Measuring Post Traumatic Stre…Automatic personality assessment through social media language. (2014)Automatic personality assessm…Social network determinants of depression (2010)The Development and Psychometric Properties of LIWC2015 (2015)Detecting Stress Based on Social Interactions in Social Networks (2017)Mental-LLM (2024)Construct validity in psychological tests. (1955)The Satisfaction With Life Scale (1985)A very brief measure of the Big-Five personality domains (2003)Social Networking Sites, Depression, and Anxiety: A Systematic Review (2016)Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis (2017)Social Media Elements, Ecologies, and Effects (2019)Stress, social support, and the buffering hypothesis. (1985)Stress, social support, and the buffering hypothesis. (1985)How stigma interferes with mental health care. (2004)Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Understanding Social Media Disclosures of Sexual Abuse Through the Lenses of Support Seeking and Anonymity (2016)Self-disclosure and social media: motivations, mechanisms and psychological well-being (2019)The CES-D Scale (1977)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)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)Using Social Media for Mental Health Surveillance (2020)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)RETRACTED: Deep Learning for Depression Detection from Textual Data (2022)topicmodels : An R Package for Fitting Topic Models (2011)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)Experiments in induction (1966)Experiments in Induction (1967)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method (2022)A systematic review on automated clinical depression diagnosis (2023)IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things (2023)Affective computing: challenges (2003)The Epidemiology of Depression Across Cultures (2013)Trends in depression prevalence in the USA from 2005 to 2015: widening disparities in vulnerable groups (2017)Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data (2022)Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model (2022)Screening for Depression Using Natural Language Processing: Literature Review (2024)Network analysis of depression and anxiety symptom relationships in a psychiatric sample (2016)Depression detection from social network data using machine learning techniques (2018)Facebook language predicts depression in medical records (2018)Deep learning techniques for suicide and depression detection from online social media: A scoping review (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)
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References

  • 2021Predicting Depression via Social Media1,582 cited
  • 2014Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity836 cited
  • 2014Automatic personality assessment through social media language.802 cited
  • 2017Forecasting the onset and course of mental illness with Twitter data401 cited
  • 2018Deep Learning for Depression Detection of Twitter Users345 cited
  • 2014Measuring Post Traumatic Stress Disorder in Twitter316 cited
  • 2021A textual-based featuring approach for depression detection using machine learning classifiers and social media texts231 cited
  • 2020Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features193 cited
  • 2021Deep learning for prediction of depressive symptoms in a large textual dataset183 cited
  • 2022An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM178 cited
  • 2020SenseMood: Depression Detection on Social Media168 cited
  • 2021Automatic detection of depression symptoms in twitter using multimodal analysis122 cited
  • 2016Identifying Depression on Twitter113 cited
  • 2019Detecting Arabic Depressed Users from Twitter Data107 cited
  • 2020

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Early Depression Detection from Social Network Using Deep Learning Techniques
104 cited
  • 2017Monitoring Tweets for Depression to Detect At-risk Users90 cited
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