Can Japanese Manga Be Automatically Classified from Public Library Holdings?

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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538638613
DOI
出版ステータスPublished - 2017 7月 25
イベント17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017 - Toronto, Canada
継続期間: 2017 6月 192017 6月 23

出版物シリーズ

名前Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN(印刷版)1552-5996

Other

Other17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017
国/地域Canada
CityToronto
Period17/6/1917/6/23

ASJC Scopus subject areas

  • 工学(全般)

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