mlsanityData to 14 Oct 2026

Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

arXiv 1910.12611 ↗First posted 23 Oct 2019cs.CY cs.AI cs.CLcited by 31

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Abstract (arXiv)

Suicide is a critical issue in modern society. Early detection and prevention of suicide attempts should be addressed to save people's life. Current suicidal ideation detection methods include clinical methods based on the interaction between social workers or experts and the targeted individuals and machine learning techniques with feature engineering or deep learning for automatic detection based on online social contents. This paper is the first survey that comprehensively introduces and discusses the methods from these categories. Domain-specific applications of suicidal ideation detection are reviewed according to their data sources, i.e., questionnaires, electronic health records, suicide notes, and online user content. Several specific tasks and datasets are introduced and summarized to facilitate further research. Finally, we summarize the limitations of current work and provide an outlook of further research directions.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Oct 2019.

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Citing papers per year: 2021: 7; 2022: 3; 2023: 5; 2024: 7; 2025: 7; 2026: 2.

31 papers.

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  1. 2021MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcarecited by 161
  2. 2021Anticipating Safety Issues in E2E Conversational AI: Framework and Toolingcited by 78
  3. 2021Deep Learning for Suicide and Depression Identification with Unsupervised Label Correctioncited by 45
  4. 2023Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Modelscited by 36
  5. 2023Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Healthcited by 25
  6. 2023Probing the Moral Development of Large Language Models through Defining Issues Testcited by 25
  7. 2021Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRScited by 15
  8. 2025Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluationcited by 13
  9. 2024Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosiscited by 12
  10. 2021Learning Models for Suicide Prediction from Social Media Postscited by 10
  11. 2022Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Reviewcited by 8
  12. 2022ScAN: Suicide Attempt and Ideation Events Datasetcited by 8
19 more
  1. 2021Detecting potentially harmful and protective suicide-related content on twitter: A machine learning approachcited by 5
  2. 2022Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Languagecited by 4
  3. 2024Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNNcited by 2
  4. 2024The First Multilingual Model For The Detection of Suicide Textscited by 2
  5. 2023A Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Imagescited by 1
  6. 2024Suicide Risk Assessment on Social Media with Semi-Supervised Learningcited by 1
  7. 2024Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Languagecited by 1
  8. 2025Evaluating Reasoning LLMs for Suicide Screening with the Columbia-Suicide Severity Rating Scalecited by 1
  9. 2025PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI Researchcited by 1
  10. 2025Suicidal Comment Tree Dataset: Enhancing Risk Assessment and Prediction Through Contextual Analysiscited by 1
  11. 2021Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemiccited by 0
  12. 2023Time-to-event modeling of subreddits transitions to r/SuicideWatchcited by 0
  13. 2024CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversationcited by 0
  14. 2024Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Studycited by 0
  15. 2025Detection of Suicidal Risk on Social Media: A Hybrid Modelcited by 0
  16. 2025Dynamic Fusion Multimodal Network for SpeechWellness Detectioncited by 0
  17. 2025Handling Extreme Class Imbalance: Using GANs in Data Augmentation for Suicide Predictioncited by 0
  18. 2026FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memescited by 0
  19. 2026Cross-Platform Generalisation Failure in Mental Health Natural Language Processing: A Five-Axis Fairness Audit of Transformer Models on Social Mediacited by 0