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[Demo] Integration of text-and web-mining results in EpidVis

Abstract : The new and emerging infectious diseases are an incising threat to countries due to globalisation, movement of passengers and international trade. In order to discover articles of potential importance to infectious disease emergence it is important to mine the Web with an accurate vocabulary. In this paper, we present a new methodology that combines text-mining results and visualisation approach in order to discover associations between hosts and symptoms related to emerging infectious disease outbreaks.
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Contributor : Samiha Fadloun Connect in order to contact the contributor
Submitted on : Monday, July 30, 2018 - 12:32:54 PM
Last modification on : Thursday, September 1, 2022 - 3:58:58 AM
Long-term archiving on: : Wednesday, October 31, 2018 - 1:22:03 PM


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Samiha Fadloun, Arnaud Sallaberry, Alizé Mercier, Elena Arsevska, Pascal Poncelet, et al.. [Demo] Integration of text-and web-mining results in EpidVis. 23rd International Conference on Applications of Natural Language to Information Systems (NLDB), Jun 2018, Paris, France. pp.437-440, ⟨10.1007/978-3-319-91947-8_45⟩. ⟨lirmm-01851520⟩



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