Show simple item record Velldal, Erik Øvrelid, Lilja Bergem, Eivind Alexander Stadsnes, Cathrine Touileb, Samia Jørgensen, Fredrik 2017-10-25T08:43:26Z 2017-10-25T08:43:26Z 2017-10-23
dc.description While the NoReC dataset was primarily created for training and evaluating models for document-level sentiment analysis, many other use cases are of course possible. The corpus comprises more than 35,000 full-text reviews extracted from eight different major Norwegian news sources: Dagbladet, VG, Aftenposten, Bergens Tidende, Fædrelandsvennen, Stavanger Aftenblad, and The reviews cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews across a range of categories. Each review is labeled with a manually assigned score of 1–6, as provided by the rating of the original author. The texts have been pre-processed using UDPipe and are distributed in the CoNLL-U format. However, we also provide HTML files with the raw texts. Documentation and an accompanying Python package are provided through the following git repository:
dc.language.iso nno
dc.language.iso nob
dc.language.iso nor
dc.publisher Department of Informatics, University of Oslo
dc.rights Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.rights.label CC
dc.subject sentiment analysis
dc.subject opinion mining
dc.subject reviews
dc.subject news
dc.subject norwegian
dc.title NoReC: The Norwegian Review Corpus
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding Clarino
contact.person Erik Velldal Department of Informatics, University of Oslo
sponsor Research Council of Norway 270908 SANT: Sentiment Analysis for Norwegian Text nationalFunds 35194 articles 837914 sentences 14819248 tokens 35194 texts
files.size 230563840
files.count 1

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NoReC: Norwegian Review Corpus (version 1.0.0)
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