 |
HAL-LIRMM - Open Archive |  |
Conference papers
[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.
Cited literature [7 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01851520
Contributor : Samiha Fadloun <>
Submitted on : Monday, July 30, 2018 - 12:32:54 PM
Last modification on : Thursday, July 2, 2020 - 1:58:59 PM
Document(s) archivé(s) le : Wednesday, October 31, 2018 - 1:22:03 PM
Contributor : Samiha Fadloun <>
Submitted on : Monday, July 30, 2018 - 12:32:54 PM
Last modification on : Thursday, July 2, 2020 - 1:58:59 PM
Document(s) archivé(s) le : Wednesday, October 31, 2018 - 1:22:03 PM
File
NLDB18SamihaDemo.pdf
Files produced by the author(s)
