Emotion Detection in Suicide Notes using Maximum Entropy Classification

An ensemble of supervised maximum entropy classifiers can accurately detect and identify sentiments expressed in suicide notes. Using lexical and syntactic features extracted from a training set of externally annotated suicide notes, we trained separate classifiers for each of fifteen pre-specified...

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Detalles Bibliográficos
Autores principales: Wicentowski, Richard, Sydes, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2012
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3409489/
https://www.ncbi.nlm.nih.gov/pubmed/22879760
http://dx.doi.org/10.4137/BII.S8972

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3409489/
https://www.ncbi.nlm.nih.gov/pubmed/22879760
http://dx.doi.org/10.4137/BII.S8972

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