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        <title>XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection</title>
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        <namePart type="given">Emily</namePart>
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            <namePart type="given">Donia</namePart>
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    <abstract>We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 30 additional languages, providing new resources for many low-resource languages. We use Plutchik’s core emotions to annotate the dataset with the addition of neutral to create a multilabel multiclass dataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.</abstract>
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%0 Conference Proceedings
%T XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
%A Öhman, Emily
%A Pàmies, Marc
%A Kajava, Kaisla
%A Tiedemann, Jörg
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F ohman-etal-2020-xed
%X We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 30 additional languages, providing new resources for many low-resource languages. We use Plutchik’s core emotions to annotate the dataset with the addition of neutral to create a multilabel multiclass dataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.
%R 10.18653/v1/2020.coling-main.575
%U https://aclanthology.org/2020.coling-main.575
%U https://doi.org/10.18653/v1/2020.coling-main.575
%P 6542-6552

Markdown (Informal)

[XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection](https://aclanthology.org/2020.coling-main.575) (Öhman et al., COLING 2020)

• XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection (Öhman et al., COLING 2020)

ACL

• Emily Öhman, Marc Pàmies, Kaisla Kajava, and Jörg Tiedemann. 2020. XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. In Proceedings of the 28th International Conference on Computational Linguistics, pages 6542–6552, Barcelona, Spain (Online). International Committee on Computational Linguistics.