A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik’s theory-Reference-Cited by-同舟云学术

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

Published:2022-07-04 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Bolioli Andrea¹,Bosca Alessio¹,Damiano Rossana²,Lieto Antonio²,Striani Manuel²

Affiliation:

1. H-FARM, Italy

2. Department of Computer Science, University of Turin, Italy

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511047.3537659

Reference28 articles.

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3. L.E. Bruni E. Daga R. Damiano L. Diaz T. Kuflik A. Lieto A. Gangemi P. Mulholland S. Peroni S. Pescarin 2020. Towards advanced interfaces for citizen curation. In AVI2CH@ AVI. L.E. Bruni E. Daga R. Damiano L. Diaz T. Kuflik A. Lieto A. Gangemi P. Mulholland S. Peroni S. Pescarin 2020. Towards advanced interfaces for citizen curation. In AVI2CH@ AVI.

4. E. Cambria Y. Li F.Z. Xing S. Poria and K. Kwok. 2020. SenticNet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis. In ACM CIKM '20. ACM 105-114. https://doi.org/10.1145/3340531.3412003 10.1145/3340531.3412003

5. E. Cambria Y. Li F.Z. Xing S. Poria and K. Kwok. 2020. SenticNet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis. In ACM CIKM '20. ACM 105-114. https://doi.org/10.1145/3340531.3412003

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