Sélection de la langue

Gouvernement du Canada / Government of Canada

Recherche

Tracking sentiment in mail : How genders differ on emotional axes

Par Conseil national de recherches du Canada

Téléchargement
  1. (PDF, 966 Kio)
AuteurRechercher : 1; Rechercher : 1
Affiliation
  1. Conseil national de recherches du Canada. Institut de technologie de l'information du CNRC
FormatTexte, Article
Conférence49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA), June 19-24, 2011, Portland, Oregon, USA
Résumé
With the widespread usage of email, we now have access to unprecedented amounts of text that we ourselves have written. In this paper, we show how sentiment analysis can be used in tandem with effective visualizations to quantify and track emotions in many types of mail. We create a large word–emotion association lexicon by crowdsourcing, and use it to compare emotions in love letters, hate mail, and suicide notes. We show that there are marked differences across genders in how they use emotion words in work-place email. For example, women use many words from the joy–sadness axis, whereas men prefer terms from the fear–trust axis. Finally, we show visualizations that can help people track emotions in their emails.
Date de publication
Dans
  • Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (ACL-HLT 2011 (1 janvier 2011) : 70–79.
Langueanglais
Publications évaluées par des pairsNon
Numéro NPARC18456273
Exporter la noticeExporter en format RIS
Signaler une correctionSignaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement2739d3c6-dc2d-479c-8e3a-65f42e7b7e3f
Enregistrement créé2011-08-18
Enregistrement modifié2020-04-21
Date de modification :