Detecting causality from online psychiatric texts using inter-sentential language patterns

BACKGROUND: Online psychiatric texts are natural language texts expressing depressive problems, published by Internet users via community-based web services such as web forums, message boards and blogs. Understanding the cause-effect relations embedded in these psychiatric texts can provide insight...

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Detalles Bibliográficos
Autores principales: Wu, Jheng-Long, Yu, Liang-Chih, Chang, Pei-Chann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441867/
https://www.ncbi.nlm.nih.gov/pubmed/22809317
http://dx.doi.org/10.1186/1472-6947-12-72

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441867/
https://www.ncbi.nlm.nih.gov/pubmed/22809317
http://dx.doi.org/10.1186/1472-6947-12-72

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