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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. 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).
    3. 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).
    Full references (including those not matched with items on IDEAS)

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