Subjective Well-Being and Social Media: A Semantically Annotated Twitter Corpus on Fertility and Parenthood
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26 juillet 2017
- doi: 10.4000/books.aaccademia.1843
- eisbn: 9788899982546
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
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Computational Linguistics natural language experimental methodologies Linguistica Computazionale linguaggio naturale metodologie sperimentali Linguistique Computationelle langage naturel méthodes expérimentales LAW009000 Language & Linguistics (General) LNPCiter ce document
Emilio Sulis et al., « Subjective Well-Being and Social Media: A Semantically Annotated Twitter Corpus on Fertility and Parenthood », Accademia University Press, ID : 10.4000/books.aaccademia.1843
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Résumé
This article describes a Twitter corpus of social media contents in the Subjective Well-Being domain. A multilayered manual annotation for exploring attitudes on fertility and parenthood has been applied. The corpus was further analysed by using sentiment and emotion lexicons in order to highlight relationships between the use of affective language and specific sub-topics in the domain. This analysis is useful to identify features for the development of an automatic tool for sentiment-related classification tasks in this domain. The gold standard is available to the community.