Name
Abstract | ||
|---|---|---|
This paper describes the compilation and annotation of ItaGLAM, a corpus of tweets written by Italian Galleries, Li-breries, 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 Copyright © 2020 for this paper by its authors |
Year | Venue | DocType |
|---|---|---|
2020 | CLiC-it | Conference |
Volume | Citations | PageRank |
2769 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gennaro Nolano | 1 | 0 | 1.01 |
| Carola Carlino | 2 | 0 | 0.68 |
| Maria Pia di Buono | 3 | 2 | 7.15 |
| Johanna Monti | 4 | 6 | 6.25 |