Computational Stylistics in Poetry, Prose, and Drama pp 179–⁠202
Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status
Benjamin Krautter
,
Janis Pagel
,
Nils Reiter
,
Marcus Willand

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.

About

Krautter, B., Pagel, J., Reiter, N., & Willand, M. (2023). Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status. In A. S. Bories, P. Plecháč, & P. Ruiz Fabo (Eds.), Computational Stylistics in Poetry, Prose, and Drama: (pp. 179–202). Berlin, Boston: De Gruyter. doi: 10.1515/9783110781502-010

DOI
http://doi.org/10.1515/9783110781502-010

Print ISBN
978-3110-781-41-0

Online ISBN
978-3110-781-50-2

Published under Creative Commons Attribution 4.0 International License (CC BY 4.0)