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...

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Bibliographic Details
Published in:Digital Scholarship in the Humanities Vol. 33; no. 3; pp. 529 - 540
Main Authors: Garcia-Zorita, Carlos, Pacios, Ana R
Format: Article
Published: Oxford University Press / USA Sep2018
Subjects:
Online Access:View this record in EBSCOhost
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          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.
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    language: English
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