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Information extraction and visualization from twitter considering spatial structure / Hideyuki Fujita in Cartographica, vol 52 n° 2 (Summer 2017)  

Public [article]  inCartographica > vol 52 n° 2 (Summer 2017) . - pp 178 - 193 Titre : Information extraction and visualization from twitter considering spatial structure Type de document : Article/Communication Auteurs : Hideyuki Fujita, Auteur Année de publication : 2017 Article en page(s) : pp 178 - 193 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données issues des réseaux sociaux [Termes IGN] extraction de données [Termes IGN] géobalise [Termes IGN] point d'intérêt [Termes IGN] structure spatiale [Termes IGN] Twitter [Termes IGN] utilisateur [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Mobile social media represented by Twitter are expected to be a suitable source of data for analyzing human behaviour and statuses of locations. It seems that we can provide location-based information simply by spatially filtering archived data. However, there are several problems in terms of practical use. This research considers in particular problems that concern the relationship between data meaning and their spatial structures. With regard to Twitter, in general, the location from which a tweet is posted is attached to a geotagged tweet. For example, the location coordinates attached to the geotagged tweet “Heavy rain in Miura Peninsula” by NHK (Japan's public broadcaster) are not those of the Miura Peninsula, but of Shibuya in Tokyo (where NHK is located). Therefore, the tweet is not found by a spatial search around the Miura Peninsula or even Kanagawa Prefecture (where the Miura Peninsula is located). To resolve such problems, we propose a framework that distinguishes locations of interest and locations of activity. We propose a method for automatically classifying such locations and develop a data collection, classification, and visualization system based on this method. Numéro de notice : A2017-375 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.2.3875 En ligne : https://doi.org/10.3138/cart.52.2.3875 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85800 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2017021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Geo-tagged Twitter collection and visualization system / Hideyuki Fujita in Cartography and Geographic Information Science, vol 40 n° 3 (June 2013)  

Public [article]  inCartography and Geographic Information Science > vol 40 n° 3 (June 2013) . - pp 183 - 191 Titre : Geo-tagged Twitter collection and visualization system Type de document : Article/Communication Auteurs : Hideyuki Fujita, Auteur Année de publication : 2013 Article en page(s) : pp 183 - 191 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] données issues des réseaux sociaux [Termes IGN] géobalise [Termes IGN] partage de données localisées [Termes IGN] Twitter [Termes IGN] visualisation cartographique Résumé : (Auteur) Mobile social media generate valuable data for analyzing human behavior and events in the real world. In this study, we developed a distributed system for collecting geo-tagged data from Twitter. The proposed system can collect several times as much data as commonly used methods. We also developed a spatio-temporal visualization tool for displaying the collected data. We conducted a data-collection and visualization experiment in central Tokyo and showed that the collected data reflected many events in the real world. Numéro de notice : A2013-751 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2013.800272 En ligne : https://doi.org/10.1080/15230406.2013.800272 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32887 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2013031	RAB	Revue	Centre de documentation	En réserve L003	Disponible