The semantics of emoji has, to date, been considered from a static perspective. We offer the first longitudinal study of how emoji semantics changes over time, applying techniques from computational linguistics to six years of Twitter data. We identify five patterns in emoji semantic development and find evidence that the less abstract an emoji is, the more likely it is to undergo semantic change. In addition, we analyse select emoji in more detail, examining the effect of seasonality and world events on emoji semantics. To aid future work on emoji and semantics, we make our data publicly available along with a web-based interface that anyone can use to explore semantic change in emoji.
翻译：emoji的语义迄今一直从静态的角度得到考虑。 我们第一次对emoji的语义如何随时间变化进行了纵向研究,从计算语言学到Twitter数据的6年应用了技术。 我们确定了emoji语义开发的5种模式,并找到证据,证明emoji的抽象程度越低,就越有可能发生语义变化。 此外,我们更详细地分析选定的语义,研究季节性和世界性事件对emoji语义学的影响。为了帮助未来关于emoji和语义学的工作,我们公开提供我们的数据,同时提供基于网络的界面,任何人都可以用来探索emoji的语义变化。
相关内容
微信扫码咨询专知VIP会员