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Influenza-Like Illness Surveillance on Twitter through Automated Learning of Naïve Language
Twitter has the potential to be a timely and cost-effective source of data for syndromic surveillance. When speaking of an illness, Twitter users often report a combination of symptoms, rather than a suspected or final diagnosis, using naïve, everyday language. We developed a minimally trained algor...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3853203/ https://ncbi.nlm.nih.gov/pubmed/24324799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0082489 |
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