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Auteur Marion Cargill |
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Place and sentiment-based life story analysis: From the Spanish republican army to the French resistance / Catherine Dominguès in Revue française des sciences de l'information et de la communication, vol 17 (2019)
[article]
Titre : Place and sentiment-based life story analysis: From the Spanish republican army to the French resistance Type de document : Article/Communication Auteurs : Catherine Dominguès , Auteur ; Laurence Jolivet , Auteur ; Carmen Brando , Auteur ; Marion Cargill, Auteur Année de publication : 2019 Projets : MATRICIEL / Article en page(s) : n° 7228 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie
[Termes IGN] appariement de données localisées
[Termes IGN] apprentissage dirigé
[Termes IGN] carte thématique
[Termes IGN] Espagne
[Termes IGN] expression orale
[Termes IGN] France (administrative)
[Termes IGN] guerre
[Termes IGN] histoire
[Termes IGN] linguistique
[Termes IGN] ontologie
[Termes IGN] segmentation sémantique
[Termes IGN] terminologieRésumé : (auteur) In 2008, the Network of Actors for the History and Memory of Immigration (RAHMI) launched an experimental gathering program to collect the forgotten memory of immigrant populations involved in the local community. Various groups of people were targeted by this collection, which made it possible to record life stories, including those of Spanish Republicans who went into exile in France between 1936 and 1939, and participated in the French Resistance. The MATRICIEL project (PEPS CNRS UPE 2016) focused on the migration of these Spanish Republicans in terms of the places mentioned in their stories, and the sentiments associated with these places. The project aimed to mainstream the migrants’ voices in the analysis; the objects of study chosen: the places, designated by a proper name: Barcelona, or a common name: internment camp, and the associated sentiments distinguished by their polarity: positive or negative, contribute to enhancing oral archives for the construction of an immigration memory. In this article, we present the approach implemented for a multidisciplinary analysis of the life story corpus, which combines methods and tools for natural language processing and mapping. The identification of common noun places mentioned in the stories was conducted through a supervised learning model. The identification and subsequent mapping of proper name places highlight the spatial distribution of the witnesses’ life courses, determined by the historical context and personal choices. The semi-automatic sentiment annotation adds polarity to the stories. In perspective, the analysis of common noun place types will make it possible to evaluate the granularity used by witnesses to describe their lived spaces; their location will help to specify the spatiality of the stories. Numéro de notice : A2019-590 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : TOPONYMIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.4000/rfsic.7228 Date de publication en ligne : 01/09/2019 En ligne : https://doi.org/10.4000/rfsic.7228 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94547
in Revue française des sciences de l'information et de la communication > vol 17 (2019) . - n° 7228[article]