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A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model
12 references·4 citing·47 second hop
A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model (2022)A Novel Text Mining Approach for Mental H…Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media (2022)Explainable depression detect…Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)Machine Learning-Based Approa…A deep learning model for detecting mental illness from user content on social media (2020)A deep learning model for det…Detection of Suicide Ideation in Social Media Forums Using Deep Learning (2019)Detection of Suicide Ideation…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…Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review (2018)Mobile Phone and Wearable Sen…Mental health monitoring with multimodal sensing and machine learning: A survey (2018)Mental health monitoring with…Depression detection using emotion artificial intelligence (2017)Depression detection using em…Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics (2014)Revealing Real-Time Emotional…From Mobile Mental Health to Mobile Wellbeing: Opportunities and Challenges (2013)From Mobile Mental Health to …The CES-D Scale (1977)The CES-D ScaleDeveloping a single‐session outcome measure using natural language processing on digital mental health transcripts (2024)Developing a single‐session o…A comprehensive review of predictive analytics models for mental illness using machine learning algorithms (2024)A comprehensive review of pre…IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things (2023)IIFDD: Intra and inter-modal …Deep learning techniques for suicide and depression detection from online social media: A scoping review (2022)Deep learning techniques for …A new scale of social desirability independent of psychopathology. 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An overview (1975)Differentiating Suicide Attempters from Suicide Ideators: A Critical Frontier for Suicidology Research (2013)Using Social Media for Mental Health Surveillance (2020)Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models (2022)topicmodels : An R Package for Fitting Topic Models (2011)Automatic personality assessment through social media language. (2014)An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM (2022)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Is There Social Capital in a Social Network Site?: Facebook Use and College Students' Life Satisfaction, Trust, and Participation (2009)Mental Health Problems and Help-Seeking Behavior Among College Students (2009)A textual-based featuring approach for depression detection using machine learning classifiers and social media texts (2021)RETRACTED: Deep Learning for Depression Detection from Textual Data (2022)Take Two Aspirin And Tweet Me In The Morning: How Twitter, Facebook, And Other Social Media Are Reshaping Health Care (2009)Dissemination of health information through social networks: Twitter and antibiotics (2010)Lifetime Prevalence of Mental Disorders in U.S. Adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A) (2010)Application of Machine Learning Methods in Mental Health Detection: A Systematic Review (2020)Stress detection using natural language processing and machine learning over social interactions (2022)
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References

  • 1977The CES-D Scale53,239 cited
  • 2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
  • 2018Mental health monitoring with multimodal sensing and machine learning: A survey356 cited
  • 2020A deep learning model for detecting mental illness from user content on social media303 cited
  • 2017Depression detection using emotion artificial intelligence270 cited
  • 2019Detection of Suicide Ideation in Social Media Forums Using Deep Learning250 cited
  • 2014Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics229 cited
  • 2019A text classification framework for simple and effective early depression detection over social media streams216 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
  • 2018Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review148 cited
  • 2013From Mobile Mental Health to Mobile Wellbeing: Opportunities and Challenges52 cited

Cited by

  • 2023IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things99 cited

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2022
Deep learning techniques for suicide and depression detection from online social media: A scoping review
94 cited
  • 2024A comprehensive review of predictive analytics models for mental illness using machine learning algorithms68 cited
  • 2024Developing a single‐session outcome measure using natural language processing on digital mental health transcripts7 cited