Cirqueira, Douglas ORCID: 0000-0002-1283-0453, Almeida, Fernando, Cakir, Gültekin ORCID: 0000-0001-9715-7167, Jacob, Antonio ORCID: 0000-0002-9415-7265, Lobato, Fabio ORCID: 0000-0002-6282-0368, Bezbradica, Marija ORCID: 0000-0001-9366-5113 and Helfert, Markus ORCID: 0000-0001-6546-6408 (2020) Explainable sentiment analysis application for social media crisis management in retail. In: 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: WUDESHI-DR, 5-6 Nov 2020, Budapest, Hungry (Online). ISBN 978-989-758-480-0
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Workshop |
Refereed: | Yes |
Uncontrolled Keywords: | Sentiment Analysis; Explainable Artificial Intelligence; Digital Retail; Crisis Management |
Subjects: | Business > Marketing Business > Consumer behaviour Computer Science > Artificial intelligence Computer Science > Computational linguistics Computer Science > Machine learning |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre |
Published in: | Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications (CHIRA 2020). 1. ScitePress. ISBN 978-989-758-480-0 |
Publisher: | ScitePress |
Official URL: | http://dx.doi.org/10.5220/0010215303190328 |
Copyright Information: | © 2020 ScitePress. CC-BY-NC-ND 4.0 |
Funders: | European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 765395, Science Foundation Ireland grant 13/RC/2094 |
ID Code: | 25196 |
Deposited On: | 23 Nov 2020 14:38 by Douglas Da Rocha cirqueira . Last Modified 28 Mar 2022 12:21 |
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