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Contents of user-generated media (UGM) such as YouTube are popular in recent years. The authors are interested in online novel services as a UGM on the Web. A large number of novels are being uploaded..., and a few novels become major. Because there are no professional editor or no trained librarian concerning to UGM, neither quality evaluation nor categorization of UGM contents is clear. Moreover, the creator of a novel gives keywords without control, and they often generate new words, then it is difficult to use keyword for categorization. Toward automatic categorization, we have to understand relation between keywords. In this paper, we focused on analysis of keywords relation using concept graph. The concept graph is based on statistical analysis of word frequency and co-occurrence. We also show several interesting relations on concept graph.続きを見る
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Mendeley出力
AIT2013-P24