Welcome to follow Fabula-NET!

Fabula-NET is a collaborative research project at the intersection of literary studies, computer science, and applied linguistics.

Who Are We?

We are an interdisciplinary team of researchers, combining knowledge from literary studies to computational linguistics, and from machine learning to cognitive science.
Our Goals

We aim to develop computational tools for quality assessment and automated narrative analysis of fiction literature.
Our Methods

We combine fractal analysis, sentiment analysis and advanced language models with deep neural networks and machine learning to gain a deeper understanding of literary data structures.

Follow the project on our blog:

Are novels becoming simpler to read? On the question of literary complexity

We summarize our study on the diachronic change of stylistic features of literary prose. Read More

Gender Asymmetries Within and Across Genres

Summarizing our newest study of gender biases in Danish book reviews. Read More

Predicting reader appreciation from (which?) textual and narrative features - two experiments

In two recent papers, we test the potential of various feature sets for modelling (a kind) of reader appreciation Read More

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