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Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

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References

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342 cited

2015From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses342 cited

2015Social media and suicide prevention: a systematic review333 cited

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2023Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey142 cited
2017Multi-class machine classification of suicide-related communication on Twitter130 cited
2021Automatic detection of depression symptoms in twitter using multimodal analysis122 cited
2024The Lancet Commission on self-harm118 cited
2020A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media114 cited
2019Methodological Gaps in Predicting Mental Health States from Social Media107 cited
2020Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media104 cited
2019Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention95 cited
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