NoReC: The Norwegian Review Corpus

  Authors

Velldal, Erik ; Øvrelid, Lilja ; Bergem, Eivind Alexander ; Stadsnes, Cathrine ; Touileb, Samia ; Jørgensen, Fredrik

 Project URL

https://github.com/ltgoslo/norec

 Date issued

2017-10-23

 Type

corpus

 Size

35194 articles, 837914 sentences, 14819248 tokens, 35194 texts

 Language(s)

Norwegian Nynorsk , Norwegian Bokmål , Norwegian

 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, DinSide.no and P3.no. 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: https://github.com/ltgoslo/norec

 Publisher

Department of Informatics, University of Oslo

 Acknowledgement

Research Council of Norway

Project code: 270908

Project name: SANT: Sentiment Analysis for Norwegian Text

 Subject(s)

sentiment analysis opinion mining reviews news norwegian

 Collection(s)

CLARINO Bergen Centre

Show full item record