Linguistic analysis of differences in portrayal of movie characters
Linguistic analysis of differences in portrayal of movie characters
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电影人物刻画差异的语言分析
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Shrikanth S. Narayanan
中科院分区：
文献类型：
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作者：
Anil Ramakrishna;Victor R. Martinez;Nikos Malandrakis;Karan Singla;Shrikanth S. Narayanan
我们使用直接根据剧本计算的心理语言学和图论测量来检查电影中人物刻画的差异。检查角色性别、种族、年龄和其他元数据方面的差异。使用基于一组手动注释的种子词构建的线性回归模型，将心理语言学指标外推到电影中的对话。制作团队的性别与角色的性别比例之间的关系揭示了有趣的模式。性别、种族、角色年龄和语言度量之间存在一些相关性。
We examine differences in portrayal of characters in movies using psycholinguistic and graph theoretic measures computed directly from screenplays. Differences are examined with respect to characters’ gender, race, age and other metadata. Psycholinguistic metrics are extrapolated to dialogues in movies using a linear regression model built on a set of manually annotated seed words. Interesting patterns are revealed about relationships between genders of production team and the gender ratio of characters. Several correlations are noted between gender, race, age of characters and the linguistic metrics.