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Normalisation of 16th and 17th century texts in French and geographical named entity recognition
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In: 4th ACM SIGSPATIAL International Workshop on Geospatial Humanities ; ACM SIGSPATIAL GeoHumanities'20 ; https://hal-upec-upem.archives-ouvertes.fr/hal-02955867 ; ACM SIGSPATIAL GeoHumanities'20, ACM, Nov 2020, Seattle (virtual), United States. pp.28-34, ⟨10.1145/3423337.3429437⟩ ; https://ludovicmoncla.github.io/sigspatial-geohumanities-2020/ (2020)
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The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence
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In: ISSN: 2053-9517 ; Big Data & Society ; https://hal.archives-ouvertes.fr/hal-02554196 ; Big Data & Society, SAGE, 2020, 7 (1), pp.205395172091977. ⟨10.1177/2053951720919776⟩ (2020)
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A Medieval Epigraphic Corpus and its Retro-Developments (CIFM-CBMA). The Exploratory Research of the COSME2 Consortium
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In: ISSN: 2055-7671 ; EISSN: 2055-768X ; Digital Scholarship in the Humanities ; https://halshs.archives-ouvertes.fr/halshs-03085017 ; Digital Scholarship in the Humanities, Oxford University Press, 2020, Special Issue: ‘Digital Humanities 2019: Complexities’, 36 (Issue Supplement_2, October 2021), pp.ii189-ii197. ⟨10.1093/llc/fqaa069⟩ (2020)
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Nonverbal content and swift trust: An experiment on digital communication
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In: https://halshs.archives-ouvertes.fr/halshs-02483343 ; 2020 (2020)
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Terminology and ontology for cultural heritage : application to chinese ceramic vessels ; Terminologie et ontologie pour l'héritage culturel : application aux vases céramiques chinois
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In: https://tel.archives-ouvertes.fr/tel-03167916 ; Formal Languages and Automata Theory [cs.FL]. Université Grenoble Alpes [2020-.], 2020. English. ⟨NNT : 2020GRALM061⟩ (2020)
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CHIMACTIV pour se former à l’analyse chimique
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In: ISSN: 1770-1368 ; Le Bulletin de l'Union des Professeurs de Physique et de Chimie ; https://hal.archives-ouvertes.fr/hal-03164309 ; Le Bulletin de l'Union des Professeurs de Physique et de Chimie, Union des professeurs de physique et de chimie, 2020, février 2020 (448), pp.31-36 ; https://www.lactualitechimique.org/IMG/pdf/2020-448-fev.-p31-camel-hd.pdf?10335/df99862c2a4fa6cac3d7d3be00b8bc9cd5efe359 (2020)
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CHIMACTIV, a website to train in chemical analysis ; CHIMACTIV, un site pour se former à l’analyse chimique
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In: ISSN: 0151-9093 ; EISSN: 2105-2409 ; L'Actualité Chimique ; https://hal.archives-ouvertes.fr/hal-03164304 ; L'Actualité Chimique, Société chimique de France, 2020, pp.31 à 36 (2020)
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Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02618067 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org (2020)
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The Yellow Vest Protest, Study of a Social Movement through the prism of its Media Arena ; Les Gilets jaunes, étude d’un mouvement social au prisme de ses arènes médiatiques
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In: ISSN: 0997-5551 ; EISSN: 2429-4578 ; Terminal. Technologie de l’information, culture & société ; https://hal.archives-ouvertes.fr/hal-02637925 ; Terminal. Technologie de l’information, culture & société, L'Harmattan / CREIS, 2020, Les groupes minoritaires et/ou marginalisés à l’ère numérique, ⟨10.4000/terminal.5671⟩ ; https://journals.openedition.org/terminal/5671 (2020)
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Glossary: Introduction to the Digital Humanities ; Glossaire : Introduction aux humanités numériques
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In: https://hal.archives-ouvertes.fr/hal-02410396 ; 2020 (2020)
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Reflections on COVID-19 and impacts on equitable participation: The case of culturally and linguistically diverse migrant and/or refugee (CALDM/R) students in Australian higher education
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In: Mupenzi, A, Mude, WW, Baker, S, (2020). Reflections on COVID-19 and impacts on equitable participation: The case of culturally and linguistically diverse migrant and/or refugee (CALDM/R) students in Australian higher education. Higher Education Research and Development, Vol. 39, No. 7, p. 1337-1341 http://dx.doi.org/10.1080/07294360.2020.1824991 (2020)
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"Reskilling" through self-representation: Digital story-telling as an alternative English Experience for Chinese International Students in Australia
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You need a thick skin in this game: Journalists’ attitudes to resilience training as a strategy for combatting online violence
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In: Martin, Fiona R. orcid:0000-0003-4591-823X and Murrell, Colleen orcid:0000-0003-4865-1745 (2020) You need a thick skin in this game: Journalists’ attitudes to resilience training as a strategy for combatting online violence. Australian Journalism Review, 42 (1). pp. 93-111. ISSN 0810-2686 (2020)
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“A tiny cog in a large machine”: Digital Taylorism in the Translation Industry
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In: Moorkens, Joss orcid:0000-0003-0766-0071 (2020) “A tiny cog in a large machine”: Digital Taylorism in the Translation Industry. Translation Spaces, 9 (1). pp. 12-34. ISSN 2211-3711 (2020)
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Explainable sentiment analysis application for social media crisis management in retail
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In: 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 (2020)
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Abstract:
Sentiment Analysis techniques enable the automatic extraction of sentiment in social media data, including popular platforms as Twitter. For retailers and marketing analysts, such methods can support the understanding of customers' attitudes towards brands, especially to handle crises that cause behavioural changes in customers, including the COVID-19 pandemic. However, with the increasing adoption of black-box machine learning-based techniques, transparency becomes a need for those stakeholders to understand why a given sentiment is predicted, which is rarely explored for retailers facing social media crises. This study develops an Explainable Sentiment Analysis (XSA) application for Twitter data, and proposes research propositions focused on evaluating such application in a hypothetical crisis management scenario. Particularly, we evaluate, through discussions and a simulated user experiment, the XSA support for understanding customer's needs, as well as if marketing analysts would trust such an application for their decision-making processes. Results illustrate the XSA application can be effective in providing the most important words addressing customers sentiment out of individual tweets, as well as the potential to foster analysts' confidence in such support.
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Keyword:
Artificial intelligence; Computational linguistics; Consumer behaviour; Crisis Management; Digital Retail; Explainable Artificial Intelligence; Machine learning; Marketing; Sentiment Analysis
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URL: http://doras.dcu.ie/25196/
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Spoken word corpus and dictionary definition for an African language
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02912202 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2020, Special Issue on Collecting, Preserving, and Disseminating Endangered Cultural Heritage for New Understandings through Multilingual Approaches (2020)
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Revue Ouverte d’Intelligence Artificielle
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In: Revue Ouverte d'Intelligence Artificielle ; https://hal.archives-ouvertes.fr/hal-02933273 ; Revue Ouverte d'Intelligence Artificielle, Association pour la diffusion de la recherche francophone en intelligence artificielle, 2020, Revue Ouverture d'Intelligence Artificielle, 1 (1), pp.43-70 ; https://roia.centre-mersenne.org/ (2020)
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