Work

Style, Gender, and Genre

Year: 2023

Type: book-chapter

Abstract: This chapter sums up which textual features beyond words were analysed and how they may play a role in readers’ evaluation of literary quality. It discusses sentence structures, parts of speech (PoS), bigrams, and cliché expressions. It describes how topic modelling was used to analyse thematic differences and how predictive modelling was applied to explore which textual and contextual features most influenced the ratings for literary quality. Mean sentence length, in number of words per sentence, proved to be a very good indicator. Next, Dutch Literary novels by women and men are compared in several computational ways and the influence of the author’s gender on readers’ perceptions is described in more detail. Finally, the feedback loop of genre is discussed.

Source: Amsterdam University Press eBooks

DOI: 10.5117/9789048558148_ch06

Author: Karina van Dalen-Oskam

Institutions: University of Wolverhampton, Royal Netherlands Academy of Arts and Sciences, Huygens Institute for History and Culture of the Netherlands, University of Amsterdam

Language: English

Topic: Digital Humanities and Scholarship

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4381491089

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