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Opinion Mining Corpus on German Tweets about the Covid-19 Pandemic

datacite.relation.isCitedBy https://arxiv.org/abs/2105.12980
dc.contributor.author Beck, Tilman
dc.contributor.author Lee, Ji-Ung
dc.contributor.author Viehmann, Christina
dc.contributor.author Maurer, Marcus
dc.contributor.author Quiring, Oliver
dc.contributor.author Gurevych, Iryna
dc.date.accessioned 2021-05-31T11:08:22Z
dc.date.available 2021-05-31T11:08:22Z
dc.date.created 2021-08
dc.date.issued 2021-05-31
dc.description The UKP Covid-19 Twitter Corpus includes 2,785 tweets annotated by student annotators and 200 expert-annotated tweets in German. Each tweet was annotated as either a supporting opinion ("Support"), an attacking argument ("Refute"), a commenting statement ("Comment") or unrelated ("Unrelated") with respect to governmental measures taken to prevent the spread of Covid-19. en_US
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2780
dc.language.iso de en_US
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject NLP en_US
dc.subject Opinion Mining en_US
dc.subject Social Media en_US
dc.subject Covid-19 en_US
dc.subject.classification 4.43-06
dc.subject.ddc 004
dc.title Opinion Mining Corpus on German Tweets about the Covid-19 Pandemic en_US
dc.type Dataset en_US
dc.type Text en_US
dc.type Software en_US
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0000-0003-2187-7621
tuda.history.classification Version=2020-2024;409-06 Informationssysteme, Prozess- und Wissensmanagement
tuda.project DFG | GRK2222 | TP Gurevych
tuda.project EU/EFRE | 20005482 | TexPrax - Gurevych
tuda.unit TUDa

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