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

Samiha Fadloun; Arnaud Sallaberry; Alizé Mercier; Elena Arsevska; Pascal Poncelet; Mathieu Roche

doi:10.1007/978-3-319-91947-8_45

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

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

Samiha Fadloun, Arnaud Sallaberry, Alizé Mercier, Elena Arsevska, Pascal Poncelet et Mathieu Roche

Natural Language Processing and Information Systems23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings, Vol.10859, pp.437-440

Lecture Notes in Computer Science

23rd International Conference on Applications of Natural Language to Information Systems (NLDB) (Paris, France, 13/06/2018–15/06/2018)

13/06/2018

DOI: https://doi.org/10.1007/978-3-319-91947-8_45

Résumé

Query

Visualization

Text-mining

Epidemiology

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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Titre: [Demo] Integration of text-and web-mining results in EpidVis
Créateurs - sans rôle: Samiha Fadloun - Université de Montpellier
Arnaud Sallaberry - Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Alizé Mercier - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Elena Arsevska - Animal, Santé, Territoires, Risques et Ecosystèmes
Pascal Poncelet - Université de Montpellier
Mathieu Roche - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Détails de publication: Natural Language Processing and Information Systems23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings, Vol.10859, pp.437-440
Colloque: 23rd International Conference on Applications of Natural Language to Information Systems (NLDB) (Paris, France, 13/06/2018–15/06/2018)
Publications en série: Lecture Notes in Computer Science
Note de subvention: his work was supported by the Ministry of Higher Education and Scientific Research of Algeria and the SONGES project (FEDER and Occitanie)
Identifiants: 9935719409311
Unité académique: Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Langue: English
Type de ressource: Conference proceeding
Champs locaux: lirmm-01851520