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1 to 5 of 5 Results
Aug 10, 2020 - UMR TETIS
Roche, Mathieu, 2020, "COVID-19 and Media Dataset: Mining textual data according periods and countries (UK, Spain, France)", doi:10.18167/DVN1/ZUA8MF, CIRAD Dataverse, V1
These datasets contain a set of news articles in English, French and Spanish extracted from Medisys (i.e. advanced search) according the following criteria: (1) Keywords (at least): COVID-19, ncov2019, cov2019, coronavirus; (2) Keywords (all words): masque (French), mask (English...
Mar 12, 2020 - UMR TETIS
Sautot, Lucile; Chraibi, Eric; Fize, Jacques; Lentschat, Martin; Cernesson, Flavie; Journaux, Ludovic; Peillet Sébastien, 2019, "Grand Débat National - Données enrichies", doi:10.18167/DVN1/ZRTW02, CIRAD Dataverse, V2
[FR] Ces données agrègent : - les contributions libres déposées sur la plateforme en ligne http://granddebat.fr relatives à la question de la transition écologique, - les annotations de ces contributions réalisées sur la plateforme en ligne https://grandeannotation.fr, - l'extrac...
Jan 16, 2018 - UMR TETIS
Roche, Mathieu; Bonin, Muriel, 2018, "CRESI BigDataPol - Terrain Guadeloupe : Termes extraits automatiquement", doi:10.18167/DVN1/0SD5SL, CIRAD Dataverse, V1
CONTEXTE : projet CRESI BigDataPol (http://textmining.biz/Projects/BigDataPol). But : Mobiliser des approches de Big data pour l'analyse des processus et des effets des politiques publiques dans le milieu rural. Question de recherche en SHS adaptée au terrain Guadeloupe : (1) Par...
Dec 22, 2017 - UMR TETIS
Roche, Mathieu; Bonin, Muriel, 2017, "CRESI BigDataPol - Terrain Guadeloupe : Comparaison des termes extraits", doi:10.18167/DVN1/YMCUEY, CIRAD Dataverse, V1
CONTEXTE : projet CRESI BigDataPol (http://textmining.biz/Projects/BigDataPol). But : Mobiliser des approches de Big data pour l'analyse des processus et des effets des politiques publiques dans le milieu rural. Question de recherche en SHS adaptée au terrain Guadeloupe : (1) Par...
Sep 8, 2017 - UMR TETIS
Zenasni, Sarah; Kergosien, Eric; Roche, Mathieu; Teisseire, Maguelonne, 2017, "A corpus of 1000 authentic SMS in French with spatial labels", doi: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...
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