| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2019-05-08 |
| タイトル |
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|
タイトル |
Estimation of Interpersonal Relationships in Movies |
|
言語 |
en |
| 言語 |
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|
言語 |
eng |
| キーワード |
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|
言語 |
en |
|
主題 |
Markov Logic Network |
| キーワード |
|
|
言語 |
en |
|
主題 |
semantic analysis |
| キーワード |
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|
言語 |
en |
|
主題 |
Open Movie Database |
| キーワード |
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|
言語 |
en |
|
主題 |
perception/cognitive metrics |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 著者 |
OHWATARI, Yuta
KAWAMURA, Takahiro
SEI, Yuichi
TAHARA, Yasuyuki
OHSUGA, Akihiko
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
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. |
| 書誌情報 |
en : IEICE Transactions on Information and Systems
巻 E99.D,
号 1,
p. 128-137,
発行日 2016-01-01
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| 出版者 |
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出版者 |
The Institute of Electronics, Information and Communication Engineers |
| ISSN |
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|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0916-8532 |
| DOI |
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|
関連タイプ |
isIdenticalTo |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
10.1587/transinf.2015MUP0015 |
| 権利 |
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|
権利情報 |
Copyright © 2016 IEICE |
| 関連サイト |
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識別子タイプ |
URI |
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関連識別子 |
http://search.ieice.org/index.html |
| 著者版フラグ |
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出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
E99.D_2015MUP0015 (925.1 kB)
