Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian

Petter Mæhlum, Jeremy Barnes, Lilja Øvrelid, Erik Velldal


Abstract
This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from various news-sources. We present both the annotation scheme and first results for classification experiments. The effort represents a step toward creating a Norwegian dataset for fine-grained sentiment analysis.
Anthology ID:
W19-6113
Volume:
Proceedings of the 22nd Nordic Conference on Computational Linguistics
Month:
September–October
Year:
2019
Address:
Turku, Finland
Venue:
NoDaLiDa
SIG:
Publisher:
Linköping University Electronic Press
Note:
Pages:
121–130
Language:
URL:
https://aclanthology.org/W19-6113
DOI:
Bibkey:
Cite (ACL):
Petter Mæhlum, Jeremy Barnes, Lilja Øvrelid, and Erik Velldal. 2019. Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian. In Proceedings of the 22nd Nordic Conference on Computational Linguistics, pages 121–130, Turku, Finland. Linköping University Electronic Press.
Cite (Informal):
Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian (Mæhlum et al., NoDaLiDa 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/W19-6113.pdf
Code
 ltgoslo/norec_eval
Data
NoReC