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Human language reveals a universal positivity bias

Domaine:

natural language processing

Type de record:

paperdataset
Créateur:
DodClaDesFra
Hôte:avatar
Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (1) the words of natural human language possess a universal positivity bias; (2) the estimated emotional content of words is consistent between languages under translation; and (3) this positivity bias is strongly independent of frequency of word usage. Alongside these general regularities, we describe inter-language variations in the emotional spectrum of languages which allow us to rank corpora. We also show how our word evaluations can be used to construct physical-like instruments for both real-time and offline measurement of the emotional content of large-scale texts. Manuscript: 7 pages, 4 figures; Supplementary Material: 49 pages, 43 figures, 6 tables. Online appendices available at uvm.edu

Visit

arxiv.org

Tags

Physics and SocietyComputation and LanguageSocial and Information Networks

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