This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Depression and Mood Disorders; Suicide Prevention (1271)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17758, first published .
Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis

Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis

Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis

Authors of this article:

Diana Ramírez-Cifuentes1 Author Orcid Image ;   Ana Freire1 Author Orcid Image ;   Ricardo Baeza-Yates1 Author Orcid Image ;   Joaquim Puntí2, 3 Author Orcid Image ;   Pilar Medina-Bravo4 Author Orcid Image ;   Diego Alejandro Velazquez5 Author Orcid Image ;   Josep Maria Gonfaus6 Author Orcid Image ;   Jordi Gonzàlez5 Author Orcid Image
Article Authors Cited by (43) Tweetations (41) Metrics

Journals

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  3. Ramírez-Cifuentes D, Freire A, Baeza-Yates R, Sanz Lamora N, Álvarez A, González-Rodríguez A, Lozano Rochel M, Llobet Vives R, Velazquez D, Gonfaus J, Gonzàlez J. Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis. Journal of Medical Internet Research 2021;23(7):e25925 View
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  8. Ramirez-Cifuentes D, Largeron C, Tissier J, Baeza-Yates R, Freire A. Enhanced Word Embedding Variations for the Detection of Substance Abuse and Mental Health Issues on Social Media Writings. IEEE Access 2021;9:130449 View
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  11. Lao C, Lane J, Suominen H. Analyzing Suicide Risk From Linguistic Features in Social Media: Evaluation Study. JMIR Formative Research 2022;6(8):e35563 View
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  16. Malhotra A, Jindal R. Deep learning techniques for suicide and depression detection from online social media: A scoping review. Applied Soft Computing 2022;130:109713 View
  17. Zerrouki K, Hamou R, Rahmoun A. Spotted Hyenas Approach ‎for Suicidal Prediction. International Journal of Organizational and Collective Intelligence 2022;12(1):1 View
  18. Barua P, Vicnesh J, Lih O, Palmer E, Yamakawa T, Kobayashi M, Acharya U. Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review. Cognitive Neurodynamics 2024;18(1):1 View
  19. Zhang Y, Lyu H, Liu Y, Zhang X, Wang Y, Luo J. Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study. JMIR Infodemiology 2021;1(1):e26769 View
  20. Rentz D, Heckler W, Barbosa J. A computational model for assisting individuals with suicidal ideation based on context histories. Universal Access in the Information Society 2023 View
  21. Sharma A, Kaushik B, Chadha A, Sharma R. Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction. Concurrency and Computation: Practice and Experience 2023;35(22) View
  22. Parsapoor (Mah Parsa) M, Koudys J, Ruocco A. Suicide risk detection using artificial intelligence: the promise of creating a benchmark dataset for research on the detection of suicide risk. Frontiers in Psychiatry 2023;14 View
  23. Chatterjee M, Kumar P, Sarkar D. Generating a Mental Health Curve for Monitoring Depression in Real Time by Incorporating Multimodal Feature Analysis Through Social Media Interactions. International Journal of Intelligent Information Technologies 2023;19(1):1 View
  24. Heckler W, Feijó L, de Carvalho J, Barbosa J. Thoth: An intelligent model for assisting individuals with suicidal ideation. Expert Systems with Applications 2023;233:120918 View
  25. Solans Noguero D, Ramírez-Cifuentes D, Ríssola E, Freire A. Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study. Journal of Medical Internet Research 2023;25:e45184 View
  26. Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View
  27. Abdulsalam A, Alhothali A, Al-Ghamdi S. Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques. Arabian Journal for Science and Engineering 2024 View
  28. Gorai J, Shaw D. A BERT-encoded ensembled CNN model for suicide risk identification in social media posts. Neural Computing and Applications 2024;36(18):10955 View
  29. Montejo-Ráez A, Molina-González M, Jiménez-Zafra S, García-Cumbreras M, García-López L. A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges. Computer Science Review 2024;53:100654 View
  30. Theophilou E, Lobo-Quintero R, Hernández-Leo D, Sánchez-Reina R, Ognibene D. Embedding Educational Narrative Scripts in a Social Media Environment. IEEE Transactions on Learning Technologies 2024;17:1820 View

Books/Policy Documents

  1. Chan J, Chua S, Foo L. Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022). View
  2. Uban A, Chulvi B, Rosso P. Early Detection of Mental Health Disorders by Social Media Monitoring. View
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  6. Chatterjee M, Modak S, Sarkar D. Cognitive Cardiac Rehabilitation Using IoT and AI Tools. View