‘Tecnologica cosa’: Modeling Storyteller Personalities in Boccaccio’s ‘Decameron’

A. Cooper, Maria Antoniak, Christopher De Sa, Marilyn Migiel, David Mimno


Abstract
We explore Boccaccio’s Decameron to see how digital humanities tools can be used for tasks that have limited data in a language no longer in contemporary use: medieval Italian. We focus our analysis on the question: Do the different storytellers in the text exhibit distinct personalities? To answer this question, we curate and release a dataset based on the authoritative edition of the text. We use supervised classification methods to predict storytellers based on the stories they tell, confirming the difficulty of the task, and demonstrate that topic modeling can extract thematic storyteller “profiles.”
Anthology ID:
2021.latechclfl-1.17
Volume:
Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Month:
November
Year:
2021
Address:
Punta Cana, Dominican Republic (online)
Venues:
CLFL | EMNLP | LaTeCH | LaTeCHCLfL
SIG:
SIGHUM
Publisher:
Association for Computational Linguistics
Note:
Pages:
147–153
Language:
URL:
https://aclanthology.org/2021.latechclfl-1.17
DOI:
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.latechclfl-1.17.pdf