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
Venues:
NoDaLiDa | WS
SIG:
Publisher:
Linköping University Electronic Press
Note:
Pages:
121–130
Language:
URL:
https://www.aclweb.org/anthology/W19-6113
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-6113.pdf