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        <title>Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings</title>
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        <namePart type="given">Peng</namePart>
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    <abstract>This paper presents a simple but effective method to build sentiment lexicons for the three Mainland Scandinavian languages: Danish, Norwegian and Swedish. This method benefits from the English Sentiwordnet and a thesaurus in one of the target languages. Sentiment information from the English resource is mapped to the target languages by using machine translation and similarity measures based on sentence embeddings. A number of experiments with Scandinavian languages are performed in order to determine the best working sentence embedding algorithm for this task. A careful extrinsic evaluation on several datasets yields state-of-the-art results using a simple rule-based sentiment analysis algorithm. The resources are made freely available under an MIT License.</abstract>
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%0 Conference Proceedings
%T Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings
%A Liu, Peng
%A Marco, Cristina
%A Gulla, Jon Atle
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F liu-etal-2022-building
%X This paper presents a simple but effective method to build sentiment lexicons for the three Mainland Scandinavian languages: Danish, Norwegian and Swedish. This method benefits from the English Sentiwordnet and a thesaurus in one of the target languages. Sentiment information from the English resource is mapped to the target languages by using machine translation and similarity measures based on sentence embeddings. A number of experiments with Scandinavian languages are performed in order to determine the best working sentence embedding algorithm for this task. A careful extrinsic evaluation on several datasets yields state-of-the-art results using a simple rule-based sentiment analysis algorithm. The resources are made freely available under an MIT License.
%U https://aclanthology.org/2022.lrec-1.301
%P 2816-2825

Markdown (Informal)

[Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings](https://aclanthology.org/2022.lrec-1.301) (Liu et al., LREC 2022)

• Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings (Liu et al., LREC 2022)

ACL

• Peng Liu, Cristina Marco, and Jon Atle Gulla. 2022. Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2816–2825, Marseille, France. European Language Resources Association.