人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
論文特集「ウェブインテリジェンスとインタラクション2017」
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
山下 諒朴 炳宣松下 光範
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ジャーナル フリー

2017 年 32 巻 1 号 p. WII-D_1-11

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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.

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