This paper describes the compilation and annotation of ItaGLAM, a corpus of tweets written by Italian Galleries, Libreries, Archives and Museums (GLAMs) during the lockdown period in Italy due to the COVID-19 pandemic. ItaGLAM has been annotated with a set of labels which may be useful to identify different types of communication. Furthermore, the collected data have been used to train a set of classifiers. The results are analyzed to evaluate the information flow between GLAM and users and to analyze cultural communication on the Web.

ItaGLAM: A corpus of Cultural Communication on Twitter during the Pandemic

Gennaro Nolano;Carola Carlino;Maria Pia di Buono;Johanna Monti
2020-01-01

Abstract

This paper describes the compilation and annotation of ItaGLAM, a corpus of tweets written by Italian Galleries, Libreries, Archives and Museums (GLAMs) during the lockdown period in Italy due to the COVID-19 pandemic. ItaGLAM has been annotated with a set of labels which may be useful to identify different types of communication. Furthermore, the collected data have been used to train a set of classifiers. The results are analyzed to evaluate the information flow between GLAM and users and to analyze cultural communication on the Web.
2020
Inglese
AA.VV
J. Monti, F. Dell'Orletta, F. Tamburini
CLiC-it 2020 Italian Conference on Computational Linguistics Proceedings of the Seventh Italian Conference on Computational Linguistics
contributo
CLiC-it 2020 Italian Conference on Computational Linguistics
323
329
7
979-12-80136-28-2
https://www.aaccademia.it/scheda-libro?aaref=1426
AILC - Associazione Italiana di Linguistica Computazionale
Trento
ITALIA
Esperti anonimi
March 1-3, 2021
Bologna
Internazionale
ItaGLAM corpus, COVID-19, Twitter, cultural communication
4
Nolano, Gennaro; Carlino, Carola; di Buono, Maria Pia; Monti, Johanna
open
273
info:eu-repo/semantics/conferenceObject
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11574/195232
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