@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://preview.aclanthology.org/fix-sig-urls/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."
}