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- W2188072405 abstract "In this paper, we show how sentiment analysis can be used in tandem with eective visualizations to quantify and track emotions in mail and books. We study a number of specic datasets and show, among other things, how collections of texts can be organized for aect-based search and how books portray dierent entities through co-occurring emotion words. Analysis of the Enron Email Corpus reveals that there are marked dierences 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." @default.
- W2188072405 created "2016-06-24" @default.
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- W2188072405 date "2011-01-01" @default.
- W2188072405 modified "2023-09-26" @default.
- W2188072405 title "Sentiment Analysis of Mail and Books" @default.
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