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Authors: Pablo Gervás 1 and Álvaro Torrente 2

Affiliations: 1 Facultad de Informática, Universidad Complutense de Madrid, Madrid, 28040, Spain ; 2 Instituto Complutense de Ciencias Musicales, Universidad Complutense de Madrid, Madrid, 28040, Spain

Keyword(s): Sentiment Analysis, Italian Opera, Opera Seria, Emotion.

Abstract: The application of artificial intelligence techniques to help musicologists analyse and classify operatic arias in terms of the sentiment they might be expressing constitutes a novel task that may benefit from the application of sentiment analysis techniques. However, because the analysis of text in this instance aims to provide information to support the analisis of the associated music, the conventions of how narrative is structured in traditional opera need to be taken into account to ensure that the relevant spans of text are considered. The present position paper argues for a treatment of operatic libretti as semi-structured data, to take advantage of annotations on speaker identity and recitative vs. aria distinctions so that the most relevant sentiment for the music of the arias can be mined from the texts. This would constitute a new task that applies artificial intelligence specifically to the needs of musicology.

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Paper citation in several formats:
Gervás, P. and Torrente, Á. (2022). Emotional Interpretation of Opera Seria: Impact of Specifics of Drama Structure (Position Paper). In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KDIR; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 330-336. DOI: 10.5220/0011588900003335

@conference{kdir22,
author={Pablo Gervás and Álvaro Torrente},
title={Emotional Interpretation of Opera Seria: Impact of Specifics of Drama Structure (Position Paper)},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KDIR},
year={2022},
pages={330-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011588900003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KDIR
TI - Emotional Interpretation of Opera Seria: Impact of Specifics of Drama Structure (Position Paper)
SN - 978-989-758-614-9
IS - 2184-3228
AU - Gervás, P.
AU - Torrente, Á.
PY - 2022
SP - 330
EP - 336
DO - 10.5220/0011588900003335
PB - SciTePress

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