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  • 标题:A study on guidelines for making good movies: A text-mining analysis Abstract
  • 本地全文:下载
  • 作者:Keita Niwa ; Keita Niwa ; Daewoong Kim
  • 期刊名称:International Journal of Asia Digital Art and Design Association
  • 电子版ISSN:1738-8074
  • 出版年度:2021
  • 卷号:25
  • 期号:3
  • 页码:49-58
  • DOI:10.20668/adada.25.3_49
  • 语种:Japanese
  • 出版社:アジアデジタルアートアンドデザイン学会
  • 摘要:The rise of movie streaming services has led to changes in viewing stylesand viewer needs. In light of these changes, it would be useful to identify thecommon elements among movies that are highly praised on these platformsand, ultimately, to establish guidelines to facilitate movie production for thisnew environment. In this study, we performed text mining of movie reviewsto this end. Further, through comparison with the elements common in poorlyrated movies, we increased the reliability of our analytical results. In additionto establishing guidelines for high-quality or good movie-making, wedemonstrated that movies that enjoy a certain level of praise share theseguideline elements and suggested some elements that make up a good movie.
  • 关键词:Movie making;text mining;common elements
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