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Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words

DOITrouver le DOI : https://doi.org/10.18653/v1/P18-1017
AuteurRechercher : 1
Affiliation
  1. Conseil national de recherches Canada. Technologies numériques
FormatTexte, Article
ConférenceThe 56th Annual Meeting of the Association for Computational Linguistics, July 2018, Melbourne, Australia
Résumé
Words play a central role in language and thought. Factor analysis studies have shown that the primary dimensions of meaning are valence, arousal, and dominance (VAD). We present the NRC VAD Lexicon, which has human ratings of valence, arousal, and dominance for more than 20,000 English words. We use Best–Worst Scaling to obtain fine-grained scores and address issues of annotation consistency that plague traditional rating scale methods of annotation. We show that the ratings obtained are vastly more reliable than those in existing lexicons. We also show that there exist statistically significant differences in the shared understanding of valence, arousal, and dominance across demographic variables such as age, gender, and personality.
Date de publication
Maison d’éditionAssociation for Computational Linguistics
Dans
  • Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) : 174–184.
Langueanglais
Publications évaluées par des pairsOui
Exporter la noticeExporter en format RIS
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Identificateur de l’enregistrement166f8642-f65c-4b69-b736-1d2eaac3a094
Enregistrement créé2020-11-12
Enregistrement modifié2021-09-17

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