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BioCaster: detecting public health rumors with a Web-based text mining system
Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700 RSS feeds, classifies them for topical relevance and plots the...
Autores principales: | Collier, Nigel, Doan, Son, Kawazoe, Ai, Goodwin, Reiko Matsuda, Conway, Mike, Tateno, Yoshio, Ngo, Quoc-Hung, Dien, Dinh, Kawtrakul, Asanee, Takeuchi, Koichi, Shigematsu, Mika, Taniguchi, Kiyosu |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2639299/ https://www.ncbi.nlm.nih.gov/pubmed/18922806 http://dx.doi.org/10.1093/bioinformatics/btn534 |
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