[Demo] Integration of text-and web-mining results in EpidVis - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2018

[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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Dates and versions

lirmm-01851520 , version 1 (30-07-2018)

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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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