Detecting Suicidal Ideation in Social Media: An Ensemble Method Based on Feature Fusion
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References listed on IDEAS
- Volker Liermann & Sangmeng Li, 2021. "Methods of Machine Learning," Springer Books, in: Volker Liermann & Claus Stegmann (ed.), The Digital Journey of Banking and Insurance, Volume III, pages 225-238, Springer.
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- Fahey, Robert A. & Boo, Jeremy & Ueda, Michiko, 2020. "Covariance in diurnal patterns of suicide-related expressions on Twitter and recorded suicide deaths," Social Science & Medicine, Elsevier, vol. 253(C).
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- Wei Pan & Xianbin Wang & Wenwei Zhou & Bowen Hang & Liwen Guo, 2023. "Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches," IJERPH, MDPI, vol. 20(3), pages 1-12, February.
- Yun Gu & Deyuan Chen & Xiaoqian Liu, 2022. "Suicide Possibility Scale Detection via Sina Weibo Analytics: Preliminary Results," IJERPH, MDPI, vol. 20(1), pages 1-11, December.
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Keywords
suicidal ideation detection; social media; ensemble method; multi-feature fusion; machine learning; Weibo; China;All these keywords.
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