Opinion Mining Corpus on German Tweets about the Covid-19 Pandemic
Count of file(s): 1
Date
2021-08
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.
DFG subject classification
4.43-06 Datenmanagement, datenintensive Systeme, Informatik-Methoden in der WirtschaftsinformatikRelated third party funded projects
DFG | GRK2222 | TP GurevychEU/EFRE | 20005482 | TexPrax - Gurevych
Related Resources
- Is cited by: https://arxiv.org/abs/2105.12980
Collections
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Argument Mining [19]
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