Mads Rosendahl Thomsen

Orcid: 0000-0002-4975-6752

According to our database1, Mads Rosendahl Thomsen authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

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

PeriFocus - Training Peripheral Color- and Shape Detection in Virtual Reality.
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

Persistence of gender asymmetries in book reviews within and across genres.
Proceedings of the Computational Humanities Research Conference 2023, 2023

2022
Predicting Literary Quality How Perspectivist Should We Be?
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

Reviewer Preferences and Gender Disparities in Aesthetic Judgments.
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
World Literature According to Wikipedia: Introduction to a DBpedia-Based Framework.
CoRR, 2017


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