Subjective well-being and social media: A semantically annotated twitter corpus on fertility and parenthood

Emilio Sulis; Cristina Bosco; Viviana Patti; Mirko Lai; Delia Iraźu Hernández Farías; Letizia Mencarini; Michele Mozzachiodi; Daniele Vignoli

Subjective well-being and social media: A semantically annotated twitter corpus on fertility and parenthood

Emilio Sulis
, Cristina Bosco
, Viviana Patti
, Mirko Lai
, Delia Iraźu Hernández Farías
, Letizia Mencarini
, Michele Mozzachiodi
, Daniele Vignoli

Risultato della ricerca: Contributo su rivista › Articolo da conferenza › peer review

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.

Lingua originale	Inglese
Rivista	CEUR Workshop Proceedings
Volume	1749
Stato di pubblicazione	Pubblicato - 2016
Pubblicato esternamente	Sì
Evento	3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, EVALITA 2016 - Napoli, Italy Durata: 5 dic 2016 → 7 dic 2016

Altri file e collegamenti

Link to publication in Scopus

Cita questo

@article{cee160373bee4f6682473faee4358e99,

title = "Subjective well-being and social media: A semantically annotated twitter corpus on fertility and parenthood",

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.",

author = "Emilio Sulis and Cristina Bosco and Viviana Patti and Mirko Lai and Far{\'i}as, \{Delia Ira{\'z}u Hern{\'a}ndez\} and Letizia Mencarini and Michele Mozzachiodi and Daniele Vignoli",

year = "2016",

language = "English",

volume = "1749",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, EVALITA 2016 ; Conference date: 05-12-2016 Through 07-12-2016",

}

TY - JOUR

T1 - Subjective well-being and social media

T2 - 3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, EVALITA 2016

AU - Sulis, Emilio

AU - Bosco, Cristina

AU - Patti, Viviana

AU - Lai, Mirko

AU - Farías, Delia Iraźu Hernández

AU - Mencarini, Letizia

AU - Mozzachiodi, Michele

AU - Vignoli, Daniele

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85009266914

M3 - Conference article

AN - SCOPUS:85009266914

SN - 1613-0073

VL - 1749

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 5 December 2016 through 7 December 2016

ER -

Subjective well-being and social media: A semantically annotated twitter corpus on fertility and parenthood

Abstract

Altri file e collegamenti

Fingerprint

Cita questo