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From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales

arXiv 1309.5909 ↗First posted 23 Sep 2013cs.CLcited by 16

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Abstract (arXiv)

Today we have access to unprecedented amounts of literary texts. However, search still relies heavily on key words. In this paper, we show how sentiment analysis can be used in tandem with effective visualizations to quantify and track emotions in both individual books and across very large collections. We introduce the concept of emotion word density, and using the Brothers Grimm fairy tales as example, we show how collections of text can be organized for better search. Using the Google Books Corpus we show how to determine an entity's emotion associations from co-occurring words. Finally, we compare emotion words in fairy tales and novels, to show that fairy tales have a much wider range of emotion word densities than novels.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Sep 2013.

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Citing papers per year: 2021: 3; 2022: 1; 2023: 8; 2024: 2; 2025: 0; 2026: 2.

16 papers.

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