@inproceedings{feldkamp-etal-2025-modeling,
title = "Modeling Multilayered Complexity in Literary Texts",
author = "Feldkamp, Pascale and
Kardos, M{\'a}rton and
Nielbo, Kristoffer and
Bizzoni, Yuri",
editor = "Johansson, Richard and
Stymne, Sara",
booktitle = "Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)",
month = mar,
year = "2025",
address = "Tallinn, Estonia",
publisher = "University of Tartu Library",
url = "https://aclanthology.org/2025.nodalida-1.15/",
pages = "142--158",
ISBN = "978-9908-53-109-0",
abstract = "We explore the relationship between stylistic and sentimental complexity in literary texts, analyzing how they interact and affect overall complexity. Using a dataset of over 9,000 English novels (19th-20th century), we find that complexity at the stylistic/syntactic and sentiment levels tend to show a linear association. Finally, using dedicated datasets, we show that both stylistic/syntactic features {--} particularly those relating to information density {--} as well as sentiment features are related to text difficulty rank as well as average processing time."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="feldkamp-etal-2025-modeling">
<titleInfo>
<title>Modeling Multilayered Complexity in Literary Texts</title>
</titleInfo>
<name type="personal">
<namePart type="given">Pascale</namePart>
<namePart type="family">Feldkamp</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Márton</namePart>
<namePart type="family">Kardos</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kristoffer</namePart>
<namePart type="family">Nielbo</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yuri</namePart>
<namePart type="family">Bizzoni</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-03</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Richard</namePart>
<namePart type="family">Johansson</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sara</namePart>
<namePart type="family">Stymne</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>University of Tartu Library</publisher>
<place>
<placeTerm type="text">Tallinn, Estonia</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">978-9908-53-109-0</identifier>
</relatedItem>
<abstract>We explore the relationship between stylistic and sentimental complexity in literary texts, analyzing how they interact and affect overall complexity. Using a dataset of over 9,000 English novels (19th-20th century), we find that complexity at the stylistic/syntactic and sentiment levels tend to show a linear association. Finally, using dedicated datasets, we show that both stylistic/syntactic features – particularly those relating to information density – as well as sentiment features are related to text difficulty rank as well as average processing time.</abstract>
<identifier type="citekey">feldkamp-etal-2025-modeling</identifier>
<location>
<url>https://aclanthology.org/2025.nodalida-1.15/</url>
</location>
<part>
<date>2025-03</date>
<extent unit="page">
<start>142</start>
<end>158</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Modeling Multilayered Complexity in Literary Texts
%A Feldkamp, Pascale
%A Kardos, Márton
%A Nielbo, Kristoffer
%A Bizzoni, Yuri
%Y Johansson, Richard
%Y Stymne, Sara
%S Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
%D 2025
%8 March
%I University of Tartu Library
%C Tallinn, Estonia
%@ 978-9908-53-109-0
%F feldkamp-etal-2025-modeling
%X We explore the relationship between stylistic and sentimental complexity in literary texts, analyzing how they interact and affect overall complexity. Using a dataset of over 9,000 English novels (19th-20th century), we find that complexity at the stylistic/syntactic and sentiment levels tend to show a linear association. Finally, using dedicated datasets, we show that both stylistic/syntactic features – particularly those relating to information density – as well as sentiment features are related to text difficulty rank as well as average processing time.
%U https://aclanthology.org/2025.nodalida-1.15/
%P 142-158
Markdown (Informal)
[Modeling Multilayered Complexity in Literary Texts](https://aclanthology.org/2025.nodalida-1.15/) (Feldkamp et al., NoDaLiDa 2025)
ACL
- Pascale Feldkamp, Márton Kardos, Kristoffer Nielbo, and Yuri Bizzoni. 2025. Modeling Multilayered Complexity in Literary Texts. In Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), pages 142–158, Tallinn, Estonia. University of Tartu Library.