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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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Libertas Academica
2012
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| Schlagworte: | |
| Online Zugang: | 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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