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Modeling and Predicting Literary Reception. A Data-Rich Approach to Literary Historical Reception

Brottrager, Judith ; Stahl, Annina ; Arslan, Arda ; Brandes, Ulrik ; Weitin, Thomas (2023)
Modeling and Predicting Literary Reception. A Data-Rich Approach to Literary Historical Reception.
In: Journal of Computational Literary Studies, 2022, 1 (1)
doi: 10.26083/tuprints-00023250
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Modeling and Predicting Literary Reception. A Data-Rich Approach to Literary Historical Reception
Language: English
Date: 21 February 2023
Place of Publication: Darmstadt
Year of primary publication: 2022
Journal or Publication Title: Journal of Computational Literary Studies
Volume of the journal: 1
Issue Number: 1
Collation: 27 Seiten
DOI: 10.26083/tuprints-00023250
Corresponding Links:
Origin: Secondary publication from TUjournals
Abstract:

This contribution exemplifies a workflow for the quantitative operationalization and analysis of historical literary reception. We will show how to encode literary historical information in a dataset that is suitable for quantitative analysis and present a nuanced and theory-based perspective on automated sentiment detection in historical literary reviews. Applying our method to corpora of English and German novels and narratives published from 1688 to 1914 and corresponding reviews and circulating library catalogs, we investigate if a text’s popularity with lay audiences, the attention from contemporary experts or the sentiment in experts’ reviews can be predicted from textual features, with the aim of contributing to the understanding of how literary reception as a social process can be linked to textual qualities.

Uncontrolled Keywords: historical reception, operationalization, sentiment analysis, text classification, 18th century, 19th century
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-232508
Additional Information:

Urspr. Konferenzveröffentlichung/Originally conference publication: 1st Annual Conference of Computational Literary Studies, 01.-02.06.2022, Darmstadt, Germany

Classification DDC: 800 Literature > 800 Literature, rhetoric and criticism
Divisions: 02 Department of History and Social Science > Institut für Sprach- und Literaturwissenschaft > Digital Philology – Modern German Literary Studies
Date Deposited: 21 Feb 2023 10:12
Last Modified: 22 Jul 2024 08:11
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23250
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