Supporting Exploratory Information Access Based on Comic Content Information

• Yamashita Ryo

  Nomura Research Institute, LTD.

• Park Byeongseon

  Faculty of Informatics, Kansai University

• Matsushita Mitsunori

  Faculty of Informatics, Kansai University

Bibliographic Information

Other Title

• コミックの内容情報に基づいた探索的な情報アクセスの支援

Abstract

The purpose of this research is supporting information access based on the contents of comic books. To meet this purpose, it is necessary to obtain information related to the story and the characters of a comic. We propose a method to extract information from reviews on the Web by using term frequency-inversed document frequency (TFIDF) method and hierarchical Latent Dirichlet Allocation (hLDA) method, which intends to solve the problem. By using these methods, we build a prototype system for exploratory comic search. We conducted a user study to observe how a participant use the system. The user study showed that the system successfully supported the participants to find interesting unread comics.

Journal

• Transactions of the Japanese Society for Artificial Intelligence

  Transactions of the Japanese Society for Artificial Intelligence 32 (1), WII-D_1-11, 2017

  The Japanese Society for Artificial Intelligence

Keywords

• comic computing
• exploratory search
• hLDA
• TF-IDF
• review analysis

Details

• CRID: 1390282680085144960
• NII Article ID: 130005290702
• DOI: 10.1527/tjsai.wii-d
• ISSN: 13468030
• ISSN: 13460714
• Web Site: https://www.jstage.jst.go.jp/article/tjsai/32/1/32_WII-D/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed