How to Do Things without Words: Modeling Semantic Drift of Emoji

Eyal Arviv, Oren Tsur


Abstract
Emoji have become a significant part of our informal textual communication. Previous work, addressing the societal and linguistic functions of emoji, overlooked the relation between the semantics and the visual variations of the symbols. In this paper we model and analyze the semantic drift of emoji and discuss the features that may be contributing to the drift, some are unique to emoji and some are more general. Specifically, we explore the relations between graphical changes and semantic changes.
Anthology ID:
2022.findings-emnlp.310
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2022
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates
Editors:
Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4206–4211
Language:
URL:
https://aclanthology.org/2022.findings-emnlp.310
DOI:
10.18653/v1/2022.findings-emnlp.310
Bibkey:
Cite (ACL):
Eyal Arviv and Oren Tsur. 2022. How to Do Things without Words: Modeling Semantic Drift of Emoji. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4206–4211, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Cite (Informal):
How to Do Things without Words: Modeling Semantic Drift of Emoji (Arviv & Tsur, Findings 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.findings-emnlp.310.pdf