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Detecting Web Rumours with a Multilingual Ontology-Supported Text Classification System
Content Type: Abstract
Timely surveillance of disease outbreak events of public health concern currently requires detailed and time consuming manual analysis by experts. Recently in addition to traditional information sources, the World Wide Web … read more… was 91.3% using SVM. While the size of the gold standard did not allow us to achieve performance closure we believe …