From once upon a time to happily ever after : tracking emotions in mail and books

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DOIResolve DOI: http://doi.org/10.1016/j.dss.2012.05.030
AuthorSearch for:
TypeArticle
Journal titleDecision Support Systems
Volume53
Issue4
Pages730741; # of pages: 12
Subjectemotion analysis; sentiment analysis; Lexicon; email; fairy tales; Enron Corpus; Google Books Corpus
AbstractIn this paper, we show how sentiment analysis can be used in tandem with effective visualizations to quantify and track emotions in mail and books. We study a number of specific datasets and show, among other things, how collections of texts can be organized for affect-based search and how books portray different entities through co-occurring emotion words. Analysis of the Enron Email Corpus reveals that there are marked differences across genders in how they use emotion words in work-place email. Finally, we show that fairy tales have more extreme emotion densities than novels.
Publication date
PublisherElsevier
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number21268018
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Record identifier21e35e1b-8145-48c1-86ba-c15d0213d775
Record created2013-04-03
Record modified2016-05-09
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