The paper presents a combined approach to knowledge-based emotion attribution and classification of cultural items employed in the H2020 project SPICE. In particular, we show a preliminary experimentation conducted on a selection of items contributed by the GAM Museum in Turin (Galleria di Arte Moderna), pointing out how different language-based approaches to emotion categorization (used in the systems Sophia and DEGARI respectively) can be powerfully combined to cope with both coverage and extended affective attributions. Interestingly, both approaches are based on an ontology of the Plutchik’s theory of emotions.

A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory

Rossana Damiano
;
Antonio Lieto
;
Manuel Striani
2022-01-01

Abstract

The paper presents a combined approach to knowledge-based emotion attribution and classification of cultural items employed in the H2020 project SPICE. In particular, we show a preliminary experimentation conducted on a selection of items contributed by the GAM Museum in Turin (Galleria di Arte Moderna), pointing out how different language-based approaches to emotion categorization (used in the systems Sophia and DEGARI respectively) can be powerfully combined to cope with both coverage and extended affective attributions. Interestingly, both approaches are based on an ontology of the Plutchik’s theory of emotions.
2022
UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Barcellona, Spain
04/07/2022
UMAP '22: 30th ACM Conference on User Modeling, Adaptation andPersonalization, Barcelona, Spain, July 4 - 7, 2022, Adjunct Proceedings
Association for Computing Machinery
6
374
382
9781450392327
https://doi.org/10.1145/3511047.3537659
Affective Content Aggregation, Commonsense Reasoning, Description Logics
Andrea Bolioli, Alessio Bosca, Rossana Damiano, Antonio Lieto, Manuel Striani
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1885236
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