Topic modelling characterization of Mudejar art based on document titles.
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...
| Published in: | Digital Scholarship in the Humanities Vol. 33; no. 3; pp. 529 - 540 |
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| Main Authors: | , |
| Format: | Article |
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Oxford University Press / USA
Sep2018
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=131417030&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 131417030 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2018 vid: 33 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 131417030 10.1093/llc/fqx055 ppf: 529 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 123KB tig: atl: Topic modelling characterization of Mudejar art based on document titles. aug: au: Garcia-Zorita, Carlos Pacios, Ana R affil: Departamento de Biblioteconomía y Documentación, Universidad Carlos III de Madrid, Spain su: Mudéjar art Text mining Corpora Spanish art Digital technology Art history sug: subj: Mudéjar art Text mining Corpora Spanish art Digital technology Art history ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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