# A Fine-Grained Sentiment Dataset for Norwegian

arXiv: https://arxiv.org/abs/1911.12722 · HTML: https://mlsanity.com/paper/1911.12722/

## Key facts

- Cited by 23 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Nov 2019.

## Built on by (most cited first, 23 of 23)

- [Structured Sentiment Analysis as Dependency Graph Parsing](https://mlsanity.com/paper/2105.14504/) (2021)
- [Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model](https://mlsanity.com/paper/2104.09617/) (2021)
- [NorBench -- A Benchmark for Norwegian Language Models](https://mlsanity.com/paper/2305.03880/) (2023)
- [Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis](https://mlsanity.com/paper/2203.10796/) (2022)
- [Large-Scale Contextualised Language Modelling for Norwegian](https://mlsanity.com/paper/2104.06546/) (2021)
- [skweak: Weak Supervision Made Easy for NLP](https://mlsanity.com/paper/2104.09683/) (2021)
- [The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective](https://mlsanity.com/paper/2412.09460/) (2024)
- [NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark](https://mlsanity.com/paper/2504.07749/) (2025)
- [Sparse Fuzzy Attention for Structured Sentiment Analysis](https://mlsanity.com/paper/2109.06719/) (2021)
- [Entity-Level Sentiment Analysis (ELSA): An exploratory task survey](https://mlsanity.com/paper/2304.14241/) (2023)
- [It's Difficult to be Neutral -- Human and LLM-based Sentiment Annotation of Patient Comments](https://mlsanity.com/paper/2404.18832/) (2024)
- [The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset](https://mlsanity.com/paper/2108.13898/) (2021)
- [Direct parsing to sentiment graphs](https://mlsanity.com/paper/2203.13209/) (2022)
- [BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer](https://mlsanity.com/paper/2304.09649/) (2023)
- [ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach](https://mlsanity.com/paper/2205.00440/) (2022)
- [Structured Sentiment Analysis as Transition-based Dependency Graph Parsing](https://mlsanity.com/paper/2305.05311/) (2023)
- [Entity-Level Sentiment: More than the Sum of Its Parts](https://mlsanity.com/paper/2407.03916/) (2024)
- [Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing](https://mlsanity.com/paper/2407.04801/) (2024)
- [Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback](https://mlsanity.com/paper/2501.19134/) (2025)
- [LySACoru~na at SemEval-2022 Task 10: Repurposing Off-the-Shelf Tools for Sentiment Analysis as Semantic Dependency Parsing](https://mlsanity.com/paper/2204.12820/) (2022)
- [A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis](https://mlsanity.com/paper/2205.15514/) (2022)
- [Aligning the Norwegian UD Treebank with Entity and Coreference Information](https://mlsanity.com/paper/2305.13527/) (2023)
- [Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction](https://mlsanity.com/paper/2501.14144/) (2025)

## Abstract (arXiv)

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.