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

Andrea Bolioli; Alessio Bosca; Rossana Damiano; Antonio Lieto; Manuel Striani

doi:10.1145/3511047.3537659

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

Andrea Bolioli, Alessio Bosca, Rossana Damiano, Antonio Lieto, Manuel Striani

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	374-382
Number of pages	9
ISBN (Electronic)	9781450392327
DOIs	https://doi.org/10.1145/3511047.3537659
Publication status	Published - 4 Jul 2022
Externally published	Yes
Event	30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 - Virtual, Online, Spain Duration: 4 Jul 2022 → 7 Jul 2022

Publication series

Name	UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference	30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022
Country/Territory	Spain
City	Virtual, Online
Period	4/07/22 → 7/07/22

Keywords

Affective Content Aggregation
Commonsense Reasoning
Description Logics

Access to Document

10.1145/3511047.3537659

Cite this

Bolioli, A., Bosca, A., Damiano, R., Lieto, A., & Striani, M. (2022). A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. In UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 374-382). (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/3511047.3537659

Bolioli, Andrea ; Bosca, Alessio ; Damiano, Rossana et al. / A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2022. pp. 374-382 (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).

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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.",

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Bolioli, A, Bosca, A, Damiano, R, Lieto, A & Striani, M 2022, A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. in UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, pp. 374-382, 30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022, Virtual, Online, Spain, 4/07/22. https://doi.org/10.1145/3511047.3537659

A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. / Bolioli, Andrea; Bosca, Alessio; Damiano, Rossana et al.
UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2022. p. 374-382 (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Bolioli A, Bosca A, Damiano R, Lieto A, Striani M. A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. In UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc. 2022. p. 374-382. (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3511047.3537659

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

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