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@@ -73,7 +73,7 @@ Here is an example showing how to use the model for predicting such sentiment tu
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  ### Training Data
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- The model is trained on NoReC_fine, a dataset for fine-grained sentiment analysis in Norwegian, based on a subset of documents from the Norwegian Review Corpus (NoReC) which constists of professionally authored reviews from multiple news-sources and across a wide variety of domains, including literature, games, music, products, movies and more.
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  - **Paper:** [A Fine-grained Sentiment Dataset for Norwegian](https://aclanthology.org/2020.lrec-1.618/) by L. Øvrelid, P. Mæhlum, J. Barnes, and E Velldal, in the Proceedings of the 12th Language Resources and Evaluation Conference, Marseille, 2020
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  - **Repository:** [https://github.com/ltgoslo/norec_fine](https://github.com/ltgoslo/norec_fine)
 
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  ### Training Data
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+ The model is trained on [NoReC_fine](https://github.com/ltgoslo/norec_fine), a dataset for fine-grained sentiment analysis in Norwegian, based on a subset of documents from the [Norwegian Review Corpus](https://huggingface.co/datasets/ltg/norec) (NoReC) which constists of professionally authored reviews from multiple news-sources and across a wide variety of domains, including literature, games, music, products, movies and more.
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  - **Paper:** [A Fine-grained Sentiment Dataset for Norwegian](https://aclanthology.org/2020.lrec-1.618/) by L. Øvrelid, P. Mæhlum, J. Barnes, and E Velldal, in the Proceedings of the 12th Language Resources and Evaluation Conference, Marseille, 2020
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  - **Repository:** [https://github.com/ltgoslo/norec_fine](https://github.com/ltgoslo/norec_fine)