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Detecting suicide risk using knowledge-aware natural language processing and counseling service data

Author

Listed:
  • Xu, Zhongzhi
  • Xu, Yucan
  • Cheung, Florence
  • Cheng, Mabel
  • Lung, Daniel
  • Law, Yik Wa
  • Chiang, Byron
  • Zhang, Qingpeng
  • Yip, Paul S.F.

Abstract

Detecting users at risk of suicide in text-based counseling services is essential to ensure that at-risk individuals are flagged and prioritized.

Suggested Citation

  • Xu, Zhongzhi & Xu, Yucan & Cheung, Florence & Cheng, Mabel & Lung, Daniel & Law, Yik Wa & Chiang, Byron & Zhang, Qingpeng & Yip, Paul S.F., 2021. "Detecting suicide risk using knowledge-aware natural language processing and counseling service data," Social Science & Medicine, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:socmed:v:283:y:2021:i:c:s0277953621005086
    DOI: 10.1016/j.socscimed.2021.114176
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    References listed on IDEAS

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    1. Lutter, Mark & Roex, Karlijn L.A. & Tisch, Daria, 2020. "Anomie or imitation? The Werther effect of celebrity suicides on suicide rates in 34 OECD countries, 1960–2014," Social Science & Medicine, Elsevier, vol. 246(C).
    2. 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).
    3. Chan, Gloria Hongyee, 2020. "A comparative analysis of online, offline, and integrated counseling among hidden youth in Hong Kong," Children and Youth Services Review, Elsevier, vol. 114(C).
    Full references (including those not matched with items on IDEAS)

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