Abstract
The usage of part-of-day nouns, such as 'night', and their time-specific greetings ('good night'), varies across languages and cultures. We show the possibilities that Twitter offers for studying the semantics of these terms and its variability between countries. We mine a worldwide sample of multilingual tweets with temporal greetings, and study how their frequencies vary in relation with local time. The results provide insights into the semantics of these temporal expressions and the cultural and sociological factors influencing their usage.
Cite
CITATION STYLE
Vilares, D., & Gómez-Rodríguez, C. (2018). Grounding the semantics of part-of-day nouns worldwide using twitter. In Proceedings of the 2nd Workshop on Computational Modeling of PFople’s Opinions, PersonaLity, and Emotions in Social Media, PEOPLES 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 (pp. 123–128). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-1116
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