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NoReCfine

For this targeted sentiment analysis, we used a training dataset in Norwegian with corresponding word embeddings.

We will be working with the recently released norecfine, a dataset for finegrained sentiment analysis in Norwegian. The texts in the dataset have been annotated with respect to polar expressions, targets and holders of opinion but we will here be focusing on identification of targets and their polarity only. 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.

NLPL Word Embeddings

the word embeddings used are taken from the nlpl datasets, using the Norwegian-Bokmaal CoNLL17 corpus, with a vocabulary size of 1,182,371.

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