Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter
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Grounding the Semantics of Part-of-Day Nouns Worldwide using TwitterData
2018-06Cita bibliográfica
David Vilares and Carlos Gómez-Rodríguez. 2018. Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter. In Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media, pages 123–128, New Orleans, Louisiana, USA. Association for Computational Linguistics.
Resumo
[Absctract]: 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.
Palabras chave
Cross-lingual analysis
Social media mining
Multilingual Tweets
Cultural Linguistics
Temporal Expressions
Social media mining
Multilingual Tweets
Cultural Linguistics
Temporal Expressions
Descrición
Held 6 June 2018, New Orleans, Louisiana, USA.
Versión do editor
Dereitos
Atribución 3.0 España