| dc.contributor.author | Velldal, Erik |
| dc.contributor.author | Øvrelid, Lilja |
| dc.contributor.author | Bergem, Eivind Alexander |
| dc.contributor.author | Stadsnes, Cathrine |
| dc.contributor.author | Touileb, Samia |
| dc.contributor.author | Jørgensen, Fredrik |
| dc.date.accessioned | 2017-10-25T08:43:26Z |
| dc.date.available | 2017-10-25T08:43:26Z |
| dc.date.issued | 2017-10-23 |
| dc.identifier.uri | http://hdl.handle.net/11509/124 |
| 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, 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 |
| 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.uri | http://creativecommons.org/licenses/by-nc/3.0/ |
| dc.rights.label | CC |
| dc.source.uri | https://github.com/ltgoslo/norec |
| 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 erikve@ifi.uio.no Department of Informatics, University of Oslo |
| sponsor | Research Council of Norway 270908 SANT: Sentiment Analysis for Norwegian Text nationalFunds |
| size.info | 35194 articles |
| size.info | 837914 sentences |
| size.info | 14819248 tokens |
| size.info | 35194 texts |
| files.size | 230563840 |
| files.count | 1 |
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