Citation

Benjamin Krautter, Janis Pagel, Nils Reiter, Marcus Willand. Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status. In Anne-Sophie Bories, Petr Plecháč, Pablo Ruiz Fabo (eds.): Computational Stylistics in Poetry, Prose, and Drama, pp. 179-202, Berlin: De Gruyter, December 2022. Doi: 10.1515/9783110781502-010.

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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{krautter2022a,
   address   = {Berlin},
   author    = {Benjamin Krautter and Janis Pagel and Nils Reiter and Marcus Willand},
   booktitle = {{Computational Stylistics in Poetry, Prose, and Drama}},
   doi       = {10.1515/9783110781502-010},
   editor    = {Anne-Sophie Bories and Petr Plecháč and Pablo Ruiz Fabo},
   month     = {12},
   pages     = {179--202},
   publisher = {De Gruyter},
   title     = {{Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status}},
   year      = {2022},
}

RIS

TY - CHAP
TI - Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status
AU - Benjamin Krautter
AU - Janis Pagel
AU - Nils Reiter
AU - Marcus Willand
ED - Anne-Sophie Bories
ED - Petr Plecháč
ED - Pablo Ruiz Fabo
PY - 2022
CY - Berlin
J2 - Computational Stylistics in Poetry, Prose, and Drama
DO - 10.1515/9783110781502-010
PB - De Gruyter
SP - 179
EP - 202
ER -