. Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status. In Anne-Sophie Bories, Petr Plecháč, Pablo Ruiz Fabo (ed.): Computational Stylistics in Poetry, Prose, and Drama, pp. 179-202, Berlin/Boston 2022.
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Abstract
This chapter investigates the relationship between interpretative literary character types, such as the schemer, and descriptive character properties, such as gender, age, and social status. This relationship is crucial to studying dramatic characters quantitatively across a corpus of plays, as both properties and types can be used to guide a rational comparative or diachronic analysis. To this end, we first discuss the principles of character types in drama history and theater practice, connect them to gender, age, and social status, and finally discuss their possible operationalization using machine learning.
BibTeX
@incollection{ Krautter2022aa,
Title = { { Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status } },
Address = { Berlin/Boston },
Author = { Benjamin Krautter and Janis Pagel and Nils Reiter and Marcus Willand },
Editor = { Anne-Sophie Bories and Petr Plecháč and Pablo Ruiz Fabo },
Booktitle = { Computational Stylistics in Poetry, Prose, and Drama },
Pages = { 179-202 },
Publisher = { De Gruyter },
Doi = { 10.1515/9783110781502-010 },
Year = { 2022 }
}
RIS
TY - TI - Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status AU - Benjamin Krautter AU - Janis Pagel AU - Nils Reiter AU - Marcus Willand PY - 2022 CY - Berlin/Boston DO - 10.1515/9783110781502-010 ID - Krautter2022aa PB - De Gruyter J2 - Computational Stylistics in Poetry, Prose, and Drama ER -