Topic modelling characterization of Mudejar art based on document titles

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Show simple item record García Zorita, José Carlos Pacios Lozano, Ana Reyes 2020-11-26T08:02:41Z 2020-11-26T08:02:41Z 2018-09
dc.identifier.bibliographicCitation García Zorita, C. & Pacios, A. R. (2018). Topic modelling characterisation of Mudejar art based on document titles. Digital Scholarship in the Humanities, Volume 33, Issue 3, pp. 529–539
dc.identifier.issn 2055-7671
dc.description.abstract Text mining techniques were applied to a corpus consisting in the titles of 2,454 documents on Mudejar art, a style unique to Spanish art history. Probabilistic topic modelling was used to analyse the semantic structure underlying the suite of documents studied. Two classifications were obtained, an initial, generic division into five topics followed by a second more refined division into ten. These were compared to the preliminary subject categories found for the corpus with the guidance of an area specialist. The classifications delivered by the automatic and manual procedures were observed to be compatible. The conclusion drawn was that the deployment of digitized data affords the opportunity to conduct humanities studies from new perspectives.
dc.format.extent 15
dc.language.iso eng
dc.publisher Oxford University Press
dc.rights © The Author 2017
dc.subject.other Arte mudéjar
dc.subject.other Mudejar art
dc.subject.other Probabilistictopic modelling
dc.subject.other Bibliographic repertories
dc.subject.other Publication titles
dc.title Topic modelling characterization of Mudejar art based on document titles
dc.type article
dc.subject.eciencia Arte
dc.subject.eciencia Biblioteconomía y Documentación
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 529
dc.identifier.publicationissue 3
dc.identifier.publicationlastpage 539
dc.identifier.publicationtitle Digital Scholarship in the Humanities
dc.identifier.publicationvolume 33
dc.identifier.uxxi AR/0000021983
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