期刊
COGNITION
卷 217, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.cognition.2021.104875
关键词
Emotion; Semantic change; Semantic stability; Prototype theory; Word embedding
资金
- University of Toronto Graduate Entrance Scholarship
- Canada Foundation for Innovation grant [502426]
- NSERC [RGPIN-2018-05872]
- SSHRC Insight Grant [435190272]
Humans have the unique ability to communicate emotions through language, with a shared consensus on the meaning of emotion words in English. However, research shows that emotion semantics are evolving over time, with prototypical emotion words remaining stable while others evolve more freely. The rate of change in emotion semantics is predicted partly by the prototypicality of the emotion concept.
Humans possess the unique ability to communicate emotions through language. Although concepts like anger or awe are abstract, there is a shared consensus about what these English emotion words mean. This consensus may give the impression that their meaning is static, but we propose this is not the case. We cannot travel back to earlier periods to study emotion concepts directly, but we can examine text corpora, which have partially preserved the meaning of emotion words. Using natural language processing of historical text, we found evidence for semantic change in emotion words over the past century and that varying rates of change were predicted in part by an emotion concept's prototypicality-how representative it is of the broader category of emotion. Prototypicality negatively correlated with historical rates of emotion semantic change obtained from text-based word embeddings, beyond more established variables including usage frequency in English and a second comparison language, French. This effect for prototypicality did not consistently extend to the semantic category of birds, suggesting its relevance for predicting semantic change may be category-dependent. Our results suggest emotion semantics are evolving over time, with prototypical emotion words remaining semantically stable, while other emotion words evolve more freely.
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