@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00215764,
 author = {村井, 源 and 豊澤, 修平 and 白鳥, 孝幸 and 吉田, 拓海 and 石川, 一稀 and 岩岬, 潤哉 and 斉藤, 勇璃 and 中村, 祥吾 and 根本, さくら and 大田, 翔貴 and 大場, 有紗 and 福元, 隆希 and Hajime, Murai and Shuuhei, Toyosawa and Takayuki, Shiratori and Takumi, Yoshida and Kazuki, Ishikawa and Junya, Iwasaki and Yuuri, Saito and Shougo, Nakamura and Sakura, Nemoto and Shoki , Ohta and Arisa, Ohba and Takaki, Fukumoto},
 book = {じんもんこん2021論文集},
 month = {Dec},
 note = {従来の物語分析は特定のジャンルを対象としたもので，ジャンル間の差違などを計量的に明らかにする研究はなされてこなかった．本研究では，ジャンル横断的な物語構造分析を実現するため，現代日本のエンターテイメント作品で頻出の5 ジャンル（冒険,戦闘,恋愛,探偵,怪談）を対象として各ジャンル100 話以上を収集した．また全ジャンルを共通の枠組みで構造分析し比較可能なデータセットを構築した．各ジャンルのデータセットに基づき，典型的な展開のパターンを抽出し，また因子分析により物語展開の共通・固有の因子を特定した．各ジャンルの特徴が同じ基準で比較可能となったことで，今後ジャンル複合的な物語の分析や自動生成の実現にも道が開かれると期待される．, The conventional story analysis targets a specific genre, and few research has been conducted to quantitatively clarify the differences between genres. In this study, in order to realize a cross-genre story structure analysis, more than 100 episodes of each genre were collected for 5 genres (adventure, combat, love, detective, ghost story) that frequently appear in contemporary Japanese entertainment works. We also constructed a data set that can be compared by structurally analyzing all genres in a common framework. Based on the data set of each genre, typical story plot patterns were extracted, and common and unique factors of story plot were identified by factor analysis. Since the characteristics of each genre can be compared based on the same criteria, it is expected that the analysis and automatic generation of complex genre stories will be executed in the future.},
 pages = {16--23},
 publisher = {情報処理学会},
 title = {物語ジャンルにおける展開の構造を特徴づける因子の抽出},
 volume = {2021},
 year = {2021}
}