@inproceedings{ramakrishna-etal-2017-linguistic,
title = "Linguistic analysis of differences in portrayal of movie characters",
author = "Ramakrishna, Anil and
Mart{\'\i}nez, Victor R. and
Malandrakis, Nikolaos and
Singla, Karan and
Narayanan, Shrikanth",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-1153",
doi = "10.18653/v1/P17-1153",
pages = "1669--1678",
abstract = "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.",
}
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%0 Conference Proceedings
%T Linguistic analysis of differences in portrayal of movie characters
%A Ramakrishna, Anil
%A Martínez, Victor R.
%A Malandrakis, Nikolaos
%A Singla, Karan
%A Narayanan, Shrikanth
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F ramakrishna-etal-2017-linguistic
%X 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.
%R 10.18653/v1/P17-1153
%U https://aclanthology.org/P17-1153
%U https://doi.org/10.18653/v1/P17-1153
%P 1669-1678
Markdown (Informal)
[Linguistic analysis of differences in portrayal of movie characters](https://aclanthology.org/P17-1153) (Ramakrishna et al., ACL 2017)
ACL
- Anil Ramakrishna, Victor R. Martínez, Nikolaos Malandrakis, Karan Singla, and Shrikanth Narayanan. 2017. Linguistic analysis of differences in portrayal of movie characters. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1669–1678, Vancouver, Canada. Association for Computational Linguistics.