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.
Subjective Well-Being and Social Media: A Semantically Annotated Twitter Corpus on Fertility and Parenthood / Sulis, Emilio; Bosco, Cristina; Patti, Viviana; Lai, Mirko; Hernández Farías, Delia Irazú; Mencarini, Letizia; Mozzachiodi, Michele; Vignoli, Daniele. - ELETTRONICO. - 1749:(2016), pp. 1-6. (Intervento presentato al convegno Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian tenutosi a Napoli, Italy nel December 5-7, 2016).
Subjective Well-Being and Social Media: A Semantically Annotated Twitter Corpus on Fertility and Parenthood
VIGNOLI, DANIELE
2016
Abstract
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.File | Dimensione | Formato | |
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