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
- Editors:
- Mareike Hartmann, Barbara Plank
- Venue:
- NoDaLiDa
- SIG:
- Publisher:
- Linköping University Electronic Press
- Note:
- Pages:
- 121–130
- Language:
- URL:
- https://aclanthology.org/W19-6113
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/naacl24-info/W19-6113.pdf
- Code
- ltgoslo/norec_eval
- Data
- NoReC