Can Japanese Manga Be Automatically Classified from Public Library Holdings?

Masaki Eto, Teru Agata, Noriko Sugie, Yasuharu Otani, Mari Agata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This study addressed the automatic classification of Japanese manga held by public libraries. Holdings of 4,681 public libraries and similar facilities were investigated, and 29,795 manga titles were identified. Hierarchical clustering was applied to 631 titles that were each held by more than one hundred libraries. Five clusters were identified in the upper hierarchy. Principal coordinate analysis and a manual examination of individual titles were performed to identify the common characteristics of the works in each cluster. The results suggest that the proposed method offers a novel approach to large-scale classification of manga titles.

Original languageEnglish
Title of host publication2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538638613
Publication statusPublished - 2017 Jul 25
Event17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017 - Toronto, Canada
Duration: 2017 Jun 192017 Jun 23

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996


Other17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017


  • hierarchical clustering
  • manga
  • public libraries

ASJC Scopus subject areas

  • Engineering(all)

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