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Topic Categorisation of Statements in Suicide Notes with Integrated Rules and Machine Learning

We describe and evaluate an automated approach used as part of the i2b2 2011 challenge to identify and categorise statements in suicide notes into one of 15 topics, including Love, Guilt, Thankfulness, Hopelessness and Instructions. The approach combines a set of lexico-syntactic rules with a set of...

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Detalhes bibliográficos
Main Authors: Kovačević, Aleksandar, Dehghan, Azad, Keane, John A., Nenadic, Goran
Formato: Artigo
Idioma:Inglês
Publicado em: Libertas Academica 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3409492/
https://ncbi.nlm.nih.gov/pubmed/22879767
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/BII.S8978
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