Mads Rosendahl Thomsen
Orcid: 0000-0002-4975-6752
According to our database1,
Mads Rosendahl Thomsen
authored at least 17 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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Bibliography
2024
Good Books are Complex Matters: Gauging Complexity Profiles Across Diverse Categories of Perceived Literary Quality.
CoRR, 2024
A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
The Fractality of Sentiment Arcs for Literary Quality Assessment: the Case of Nobel Laureates.
J. Data Min. Digit. Humanit., 2023
Sentimental Matters - Predicting Literary Quality by Sentiment Analysis and Stylometric Features.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023
Good Reads and Easy Novels: Readability and Literary Quality in a Corpus of US-published Fiction.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023
Proceedings of the Human-Computer Interaction - INTERACT 2023 - 19th IFIP TC13 International Conference, York, UK, August 28, 2023
Systematic Gender Asymmetries in Aesthetic Judgments: An Observational Study of Book Reviewer Preferences.
Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023
Proceedings of the Computational Humanities Research Conference 2023, 2023
2022
Fractal Sentiments and Fairy Tales - Fractal scaling of narrative arcs as predictor of the perceived quality of Andersen's fairy tales.
J. Data Min. Digit. Humanit., 2022
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022
Proceedings of the Computational Humanities Research Conference 2022, 2022
Correlations between GoodReads Appreciation and the Sentiment Arc Fractality of the Grimm brothers' Fairy Tales.
Proceedings of the Computational Humanities Research Conference 2022, 2022
2021
Fractal scaling laws for the dynamic evolution of sentiments in Never Let Me Go and their implications for writing, adaptation and reading of novels.
World Wide Web, 2021
Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis.
Digit. Scholarsh. Humanit., 2021
Sentiment Dynamics of Success: Fractal Scaling of Story Arcs Predicts Reader Preferences.
CoRR, 2021
2019
Dynamic evolution of sentiments in Never Let Me Go: Insights from quantitative analysis and implications.
Proceedings of the 6th International Conference on Behavioral, 2019
2017
CoRR, 2017