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Flu Detector - Tracking Epidemics on Twitter.
- Source :
- Machine Learning & Knowledge Discovery in Databases (9783642159381); 2010, p599-602, 4p
- Publication Year :
- 2010
-
Abstract
- We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illness (ILI) in several regions of the United Kingdom using the contents of Twitter΄s microblogging service. Our data is comprised by a daily average of approximately 200,000 geolocated tweets collected by targeting 49 urban centres in the UK for a time period of 40 weeks. Official ILI rates from the Health Protection Agency (HPA) form our ground truth. Bolasso, the bootstrapped version of LASSO, is applied in order to extract a consistent set of features, which are then used for learning a regression model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783642159381
- Database :
- Complementary Index
- Journal :
- Machine Learning & Knowledge Discovery in Databases (9783642159381)
- Publication Type :
- Book
- Accession number :
- 76773418
- Full Text :
- https://doi.org/10.1007/978-3-642-15939-8_42