English

A Fine-Grained Sentiment Dataset for Norwegian

Computation and Language 2020-04-07 v2

Abstract

We introduce NoReC_fine, a dataset for fine-grained sentiment analysis in Norwegian, annotated with respect to polar expressions, targets and holders of opinion. The underlying texts are taken from a corpus of professionally authored reviews from multiple news-sources and across a wide variety of domains, including literature, games, music, products, movies and more. We here present a detailed description of this annotation effort. We provide an overview of the developed annotation guidelines, illustrated with examples, and present an analysis of inter-annotator agreement. We also report the first experimental results on the dataset, intended as a preliminary benchmark for further experiments.

Keywords

Cite

@article{arxiv.1911.12722,
  title  = {A Fine-Grained Sentiment Dataset for Norwegian},
  author = {Lilja Øvrelid and Petter Mæhlum and Jeremy Barnes and Erik Velldal},
  journal= {arXiv preprint arXiv:1911.12722},
  year   = {2020}
}

Comments

Accepted for LREC 2020

R2 v1 2026-06-23T12:30:09.365Z