Influenza-like illness surveillance on Twitter through automated learning of naïve language.

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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Bibliographic Details
Main Authors: Francesco Gesualdo, Giovanni Stilo, Eleonora Agricola, Michaela V Gonfiantini, Elisabetta Pandolfi, Paola Velardi, Alberto E Tozzi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3853203?pdf=render

Internet

http://europepmc.org/articles/PMC3853203?pdf=render

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