Estimation of Interpersonal Relationships in Movies

• OHWATARI Yuta

  The University of Electro-Communications

• KAWAMURA Takahiro

  The University of Electro-Communications

• SEI Yuichi

  The University of Electro-Communications

• TAHARA Yasuyuki

  The University of Electro-Communications

• OHSUGA Akihiko

  The University of Electro-Communications

Abstract

In many movies, social conditions and awareness of the issues of the times are depicted in any form. Even if fantasy and science fiction are works far from reality, the character relationship does mirror the real world. Therefore, we try to understand social conditions of the real world by analyzing the movie. As a way to analyze the movies, we propose a method of estimating interpersonal relationships of the characters, using a machine learning technique called Markov Logic Network (MLN) from movie script databases on the Web. The MLN is a probabilistic logic network that can describe the relationships between characters, which are not necessarily satisfied on every line. In experiments, we confirmed that our proposed method can estimate favors between the characters in a movie with F-measure of 58.7%. Finally, by comparing the relationships with social indicators, we discussed the relevance of the movies to the real world.

Journal

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E99.D (1), 128-137, 2016

  The Institute of Electronics, Information and Communication Engineers

Keywords

• Markov Logic Network
• semantic analysis
• Open Movie Database
• perception/cognitive metrics

Details

• CRID: 1390282679355223552
• NII Article ID: 130005116183
• DOI: 10.1587/transinf.2015mup0015
• ISSN: 17451361
• ISSN: 09168532
• Web Site: http://id.nii.ac.jp/1438/00009098/
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E99.D/1/E99.D_2015MUP0015/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed