SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network
2 references·16 citing·47 second hop
A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network (2013)A Depression Detection Model Based on Sen…Cyberpsychology behavior and social networking (2013)Cyberpsychology behavior and …Feeling bad on Facebook: depression disclosures by college students on a social networking site (2011)Feeling bad on Facebook: depr…Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Depression Detection From Soc…D-vlog: Multimodal Vlog Dataset for Depression Detection (2022)D-vlog: Multimodal Vlog Datas…From Text to Thought: How Analyzing Language Can Advance Psychological Science (2021)From Text to Thought: How Ana…Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia (2021)Detecting Community Depressio…Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review (2021)Detecting and Measuring Depre…Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study (2021)Analysis of Deep Learning Tec…Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)Machine Learning-Based Approa…Application of Machine Learning Methods in Mental Health Detection: A Systematic Review (2020)Application of Machine Learni…Methodological Gaps in Predicting Mental Health States from Social Media (2019)Methodological Gaps in Predic…Computational socioeconomics (2019)Computational socioeconomicsAnxious Depression Prediction in Real-time Social Data (2019)Anxious Depression Prediction…Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures (2018)Integrating Deep and Shallow …Cross-Domain Depression Detection via Harvesting Social Media (2018)Cross-Domain Depression Detec…Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media (2017)Semi-Supervised Approach to M…Multi-kernel SVM based depression recognition using social media data (2017)Multi-kernel SVM based depres…Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons (2014)Detecting Suicidal Ideation i…Diagnostic and Statistical Manual of Mental Disorders. (2000)The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites (2007)Diagnostic and Statistical Manual of Mental Disorders (2013)Facebook use, envy, and depression among college students: Is facebooking depressing? (2014)ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS (2016)Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out (2016)The PHQ-9 (2001)Quantifying Mental Health Signals in Twitter (2014)Using Social Media for Mental Health Surveillance (2020)An emotion and cognitive based analysis of mental health disorders from social media data (2021)Predicting Depression via Social Media (2021)Social Networking Sites, Depression, and Anxiety: A Systematic Review (2016)Hierarchical deep neural network for mental stress state detection using IoT based biomarkers (2021)MEmoR: A Multimodal Emotion Recognition using affective biomarkers for smart prediction of emotional health for people analytics in smart industries (2022)Real-time emotional health detection using fine-tuned transfer networks with multimodal fusion (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)Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Users of the world, unite! The challenges and opportunities of Social Media (2009)Advance Machine Learning Methods for Dyslexia Biomarker Detection: A Review of Implementation Details and Challenges (2021)Applications of artificial intelligence−machine learning for detection of stress: a critical overview (2023)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)The weirdest people in the world? (2010)Diagnostic and Statistical Manual of Mental Disorders (2013)Language and Emotion: Introduction to the Special Issue (2021)Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling (2022)Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment (2023)Presentation of Self in Everyday Life, the (2008)Detecting depression and mental illness on social media: an integrative review (2017)Deep learning techniques for suicide and depression detection from online social media: A scoping review (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)Global burden of depressive disorders in the year 2000 (2004)Diagnostic and Statistical Manual of Mental Disorders (2012)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)TAMFN: Time-Aware Attention Multimodal Fusion Network for Depression Detection (2022)Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition (2023)DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection (2024)Procedures for Performing Systematic Reviews (2004)Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns (2024)THE BEHAVIOR ANALYSIS OF DEEP LEARNING MODEL IN THE TREATMENT OF DEPRESSION RESEARCH (2025)Video Game Addiction: Past, Present and Future (2012)The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents (2014)Adolescents’ Social Network Site Use, Peer Appearance-Related Feedback, and Body Dissatisfaction: Testing a Mediation Model (2015)
this work references cited by second hop

References

  • 2011Feeling bad on Facebook: depression disclosures by college students on a social networking site604 cited
  • 2013Cyberpsychology behavior and social networking574 cited

Cited by

  • 2020Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features193 cited
  • 2020Application of Machine Learning Methods in Mental Health Detection: A Systematic Review179 cited
  • 2017Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media169 cited
  • 2021From Text to Thought: How Analyzing Language Can Advance Psychological Science168 cited
  • 2023Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey142 cited
  • 2021Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review130 cited
  • 2022D-vlog: Multimodal Vlog Dataset for Depression Detection126 cited
  • 2019Anxious Depression Prediction in Real-time Social Data120 cited
  • 2018Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures119 cited
  • 2017Multi-kernel SVM based depression recognition using social media data119 cited
  • 2019Computational socioeconomics115 cited
  • 2021Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study

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

110 cited
  • 2019Methodological Gaps in Predicting Mental Health States from Social Media107 cited
  • 2021Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia107 cited
  • 2014Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons98 cited
  • 2018Cross-Domain Depression Detection via Harvesting Social Media98 cited