Creating Character Networks with Kinship Relations from Comics
To find and understand comic contents, we present an approach of
creating character networks with semantic relations from comics using
the panels and speech balloons. First, we build a dataset that
contains a comic's characters and its words in speech balloons
separated by the panels. Second, we extract the semantic relations
among characters using the words in the speech balloons and
panels. Third, we develop character networks by identifying the
important characters using the frequencies of characters and their
relatedness, and then we add semantic relations to these networks. As
an initial step in finding semantic relations, we focus on kinship
relations. We implement our approach and successfully build character
networks from four popular Japanese comics. Finally, we evaluate our
kinship relation extraction algorithms and the created character
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