[Demo] A webtool for analyzing land-use planning documents
2015
Farvardin, M.A. | Kergosien, Eric | Roche, Mathieu | Teisseire, Maguelonne | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-SISO<br/>ISWC 2015, Bethlehem, USA, 11-/10/2015 - 11/10/2015
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Mostrar más [+] Menos [-]Inglés. In previous work, different methods have been proposed in order to semi-automatically mine geospatial information and opinions in documents [3]. In this paper, we present the Web application,SentiAnnotator, based on NLP methods to extract and visualize geospatial in-formation with the associated entities. The evaluation of our application shows good results on a French corpus, i.e. F-measure of 0.74 and 0.75 respectively for the identication of spatial features and organizations.
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