Displaying results 1 - 2 of 2
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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 … -
Assessing the Coverage of BioCaster Terms in Web News
Content Type: Abstract
We describe here a multilingual ontology to support disease surveillance by intelligent text mining systems from Web-based rumours. We informally assessed the coverage of its English terms on large sample of news collected from the Web.… on large collections of newswire and official reports. All terms were hand curated by a domain expert, a linguist … 102, symptoms from 116 to 144 and animals from 44 to 81. All root terms are cross-referenced against external … [1] Collier, N., Kawazoe, A., Jin, L., Shigematsu, M., Dien, D. Barrero, R., Takeuchi , K.and Kawtrakul, A. (2007), …