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Today we have access to unprecedented amounts of literary texts. However,search still relies heavily on key words. In this paper, we show how sentimentanalysis can be used in tandem with effective visualizations to quantify andtrack emotions in both individual books and across very large collections. Weintroduce the concept of emotion word density, and using the Brothers Grimmfairy tales as example, we show how collections of text can be organized forbetter search. Using the Google Books Corpus we show how to determine anentity's emotion associations from co-occurring words. Finally, we compareemotion words in fairy tales and novels, to show that fairy tales have a muchwider range of emotion word densities than novels.

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