What if fan-fiction, but also coding

How does fan-fiction differ in style to its original canon and does it affect its success?

Bachelor Thesis (2025)
Author(s)

R.C. Lambert (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

HS Hung – Mentor (TU Delft - Pattern Recognition and Bioinformatics)

Ivan Kondyurin – Mentor (TU Delft - Pattern Recognition and Bioinformatics)

Elmar Eisemann – Graduation committee member (TU Delft - Computer Graphics and Visualisation)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2025
Language
English
Graduation Date
07-02-2025
Awarding Institution
Delft University of Technology
Project
['CSE3000 Research Project']
Programme
['Computer Science and Engineering']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Natural language processing, specifically style, is not explored significantly in the context of fan-fiction. By using function word frequency analysis, this paper explores the similarity in style between original works and fan-fictions derived from them as well as the impact of those stylistic similarities on the fan-fictions' successes. Investigating the works of Worm and Narnia and utilising a control set, this hypothesis is examined. Similarity in style seems to be variable, but it is suggested that certain stylistic features lead to success more than other regardless of the original work's style. More research would be needed to confirm those numbers.

Files

Rohan_Lambert_RP_Q2_2024.pdf
(pdf | 0.548 Mb)
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