From once upon a time to happily ever after : Tracking emotions in novels and fairy tales

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Proceedings titleProceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heriage, Social Sciences, and Humanities
Conference49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), June 19-24, 2011, Portland, Oregon, USA
Pages105114; # of pages: 10
AbstractToday 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 cooccurring 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.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NPARC number18456275
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Record identifierfe706e1b-f323-4506-a445-98c75b7f2aba
Record created2011-08-18
Record modified2016-05-09
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