| 概要 |
Web 上の利用者投稿型メディアであるオンライン小説では,現在流行分野の小説を書かれることが多い.本研究で は,作者が小説へ付与するキーワードの時系列分析を行い,ジャンルの流行り廃りを解析する.キーワードにはゆら ぎがあるため,機械的に算出した関連語の傾向分析も行うことにした.本論文では,作成した時系列分析ツールの構 成を述べる.また,傾向分析に用いたデータを説明し,最後にいくつかの興味深い分析結...果を示す.
Online novel sharing service, which is a user-generated media on Web, becomes popular and a large number of novels are being uploaded. Because authors like to write current popular genre, then current popular genre words may frequently appear. In this research, the authors apply the time series analysis to the keywords and genre words given to a novel by the author, and analyze the changes trend. Since keywords are not controlled, there was fluctuation in keyword. Then, the trend analysis system not only show the trend of query words but also show the trend of related terms automatically calculated using similarity. This paper describes the trend analysis system, the used data, and some interesting trend analysis results.続きを見る
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Mendeley出力
QS2013-novel-trend