L'Unité Mixte de Recherche TETIS (AGROPARISTECH - CIRAD - CNRS - INRAE) met en œuvre une approche intégrée de la chaîne de l’information spatiale : acquisition et traitement de données spatialisées, analyse et modélisation spatio-temporelle des systèmes agro-environnementaux et territoriaux, conception et gestion de systèmes d’information, Text and Data Mining, TDM, Big data, conditions de l'utilisation de l’information spatiale par les acteurs territoriaux pour les politiques publiques.
The TETIS Joint Research Unit (AGROPARISTECH - CIRAD - CNRS - INRAE) implements an integrated approach to the spatial information chain : acquisition and processing of spatialized data, analysis and modelling spatio-temporal analysis and modelling of agricultural and territorial systems, design and management of information systems, Text and Data Mining, TDM, Big data, conditions for the use of spatial information by territorial actors for public policies.
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121 to 127 of 127 Results
Valorcarn-TETIS: Semantic groups of terms
19 sept. 2017
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: Semantic groups of terms", https://doi.org/10.18167/DVN1/0WEHKT, CIRAD Dataverse, V1
Text-Mining: The extracted terms are gathered according the head (first and last words) (e‧g. (1) food consumption / food pathogen / food preservation, (2) spoiled biltong / venison biltong / wet biltong, and so forth. -- Valorcarn Project (2015-2017) [project supported by GloFoo...
Valorcarn-TETIS: Candidates for OTR (Ontological and Terminological Resource)
19 sept. 2017
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: Candidates for OTR (Ontological and Terminological Resource)", https://doi.org/10.18167/DVN1/KNFAGG, CIRAD Dataverse, V1
Text Mining: The different terms extracted by text-mining approaches are candidates for an OTR (Ontological and Terminological Resource) associated to Valorcarn Project. -- Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Topic: Mining of scient...
A corpus of 1000 authentic SMS in French with spatial labels
8 sept. 2017
Zenasni, Sarah; Kergosien, Eric; Roche, Mathieu; Teisseire, Maguelonne, 2017, "A corpus of 1000 authentic SMS in French with spatial labels", https://doi.org/10.18167/DVN1/0ZGJRC, CIRAD Dataverse, V2
Extract of 1000 authentic French SMS from a corpus of more than 88000 SMS (http://88milsms.huma-num.fr/). Spatial entities are tagged (with label). First, an automatic labelling approach based on text-mining techniques is applied in order to obtain the first corpus ("corpus1_auto...
Valorcarn-TETIS: Terms extracted with Fastr (free extraction)
5 sept. 2017
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: Terms extracted with Fastr (free extraction)", https://doi.org/10.18167/DVN1/FC2YXC, CIRAD Dataverse, V1
Text-Mining: Terms extracted with FASTR tool (free extraction) from "Valorcarn Corpus" (http://dx.doi.org/10.18167/DVN1/7YTQGQ). -- Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Topic: Mining of scientific documents for identification of proc...
Valorcarn-TETIS: corpus
5 sept. 2017
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: corpus", https://doi.org/10.18167/DVN1/7YTQGQ, CIRAD Dataverse, V1
Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Mining of scientific documents for identification of process that enables to reduce losses and waste.
Termes complexes issus d'un corpus MSF (Médecins sans Frontières)
19 juin 2017
Roche, Mathieu, 2017, "Termes complexes issus d'un corpus MSF (Médecins sans Frontières)", https://doi.org/10.18167/DVN1/4WI2GU, CIRAD Dataverse, V1
Termes complexes extraits à partir d'un corpus en anglais MSF (Médecin sans Frontière). Termes extraits avec le logiciel BioTex (http://tubo.lirmm.fr/biotex)
MSF (Médecins Sans Frontières) : testimonies
19 juin 2017
Fize, Jacques; Roche, Mathieu, 2017, "MSF (Médecins Sans Frontières) : testimonies", https://doi.org/10.18167/DVN1/MJEYXZ, CIRAD Dataverse, V1
A set of testimonies extracted from Médecins Sans Frontières (MSF) website.
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