MINT ES

MINT, a new Multilingual intimacy analysis dataset covering 13,372 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic. Tweets are annotated using a 1-5 likert scale.

Language(s)
Spanish
English
Year
2023
Domain
General
Text types
Tweets
Data access
Registration

Publication
Jiaxin Pei, Vítor Silva, Maarten Bos, Yozen Liu, Leonardo Neves, David Jurgens, and Francesco Barbieri. 2023. SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2235–2246, Toronto, Canada. Association for Computational Linguistics.
NLP Topic
Number of units
1991
Type of units
Tweets
Size - additional information

intimacy level from 1 to 5

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.