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dc.contributor.authorRobertson, Frankie
dc.contributor.authorLagus, Jarkko
dc.contributor.authorKajava, Kaisla
dc.contributor.editorToivonen, Hannu
dc.contributor.editorBoggia, Michele
dc.date.accessioned2021-09-03T10:53:14Z
dc.date.available2021-09-03T10:53:14Z
dc.date.issued2021
dc.identifier.citationRobertson, F., Lagus, J., & Kajava, K. (2021). A COVID-19 news coverage mood map of Europe. In H. Toivonen, & M. Boggia (Eds.), <i>Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation</i> (pp. 110-115). Association for Computational Linguistics. <a href="https://aclanthology.org/2021.hackashop-1.15/" target="_blank">https://aclanthology.org/2021.hackashop-1.15/</a>
dc.identifier.otherCONVID_100364589
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/77661
dc.description.abstractWe present a COVID-19 news dashboard which visualizes sentiment in pandemic news coverage in different languages across Europe. The dashboard shows analyses for positive/neutral/negative sentiment and moral sentiment for news articles across countries and languages. First we extract news articles from news-crawl. Then we use a pre-trained multilingual BERT model for sentiment analysis of news article headlines and a dictionary and word vectors -based method for moral sentiment analysis of news articles. The resulting dashboard gives a unified overview of news events on COVID-19 news overall sentiment, and the region and language of publication from the period starting from the beginning of January 2020 to the end of January 2021.en
dc.format.extent139
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics
dc.relation.ispartofProceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
dc.relation.urihttps://aclanthology.org/2021.hackashop-1.15/
dc.rightsCC BY 4.0
dc.titleA COVID-19 news coverage mood map of Europe
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202109034781
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-1-954085-13-8
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatusnonPeerReviewed
dc.format.pagerange110-115
dc.type.versionpublishedVersion
dc.rights.copyright© Association for Computational Linguistics, 2021
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceEACL Hackashop
dc.subject.ysoCOVID-19
dc.subject.ysomieliala
dc.subject.ysouutiset
dc.subject.ysouutisointi
dc.subject.ysokansainvälinen vertailu
dc.subject.ysotekstinlouhinta
dc.subject.ysopandemiat
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p38829
jyx.subject.urihttp://www.yso.fi/onto/yso/p8354
jyx.subject.urihttp://www.yso.fi/onto/yso/p13915
jyx.subject.urihttp://www.yso.fi/onto/yso/p21431
jyx.subject.urihttp://www.yso.fi/onto/yso/p19660
jyx.subject.urihttp://www.yso.fi/onto/yso/p27112
jyx.subject.urihttp://www.yso.fi/onto/yso/p10121
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.type.okmB3


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