XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection

Emily Öhman; Marc Pàmies; Kaisla Kajava; Jörg Tiedemann

doi:10.18653/v1/2020.coling-main.575

XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection

Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

We introduce XED, a multilingual fine-grained human-annotated emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 43 additional languages, providing new resources to many low-resource languages. We use Plutchik’s core emotions to annotate the dataset with the addition of neutral. The dataset is carefully evaluated using language-specific BERT to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.

Original language	English
Title of host publication	Proceedings of the 28th International Conference on Computational Linguistics
Editors	Donia Scott, Nuria Bel, Chengqing Zong
Number of pages	11
Publisher	International Committee on Computational Linguistics
Publication date	2020
Pages	6542–6552
ISBN (Electronic)	978-1-952148-27-9
DOIs	https://doi.org/10.18653/v1/2020.coling-main.575
Publication status	Published - 2020
MoE publication type	A4 Article in conference proceedings
Event	International Conference on Computational Linguistics - [Online event] Duration: 8 Dec 2020 → 13 Dec 2020 Conference number: 28

Fields of Science

6121 Languages
113 Computer and information sciences

Access to Document

10.18653/v1/2020.coling-main.575Licence: CC BY

2020.coling-main.575Final published version, 281 KBLicence: CC BY

XED
Kajava, K. (Contributor) & Öhman, E. (Creator), Github, 2020
https://github.com/Helsinki-NLP/XED
Dataset
XED
Öhman, E. (Creator), Github, 2020
https://github.com/Helsinki-NLP/XED
Dataset

Cite this

Öhman, E., Pàmies, M., Kajava, K., & Tiedemann, J. (2020). XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. In D. Scott, N. Bel, & C. Zong (Eds.), Proceedings of the 28th International Conference on Computational Linguistics (pp. 6542–6552). International Committee on Computational Linguistics. https://doi.org/10.18653/v1/2020.coling-main.575

@inproceedings{f043d2ceefee4315b35f529df60972f1,

title = "XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection",

abstract = "We introduce XED, a multilingual fine-grained human-annotated emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 43 additional languages, providing new resources to many low-resource languages. We use Plutchik{\textquoteright}s core emotions to annotate the dataset with the addition of neutral. The dataset is carefully evaluated using language-specific BERT to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.",

keywords = "6121 Languages, 113 Computer and information sciences",

author = "Emily {\"O}hman and Marc P{\`a}mies and Kaisla Kajava and J{\"o}rg Tiedemann",

year = "2020",

doi = "10.18653/v1/2020.coling-main.575",

language = "English",

pages = "6542–6552",

editor = "Scott, {Donia } and Bel, {Nuria } and Zong, {Chengqing }",

booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",

publisher = "International Committee on Computational Linguistics",

address = "Unknown",

note = "International Conference on Computational Linguistics, COLING 2020 ; Conference date: 08-12-2020 Through 13-12-2020",

}

Öhman, E, Pàmies, M, Kajava, K & Tiedemann, J 2020, XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. in D Scott, N Bel & C Zong (eds), Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, pp. 6542–6552, International Conference on Computational Linguistics, 08/12/2020. https://doi.org/10.18653/v1/2020.coling-main.575

XED : A Multilingual Dataset for Sentiment Analysis and Emotion Detection. / Öhman, Emily; Pàmies, Marc; Kajava, Kaisla et al.

Proceedings of the 28th International Conference on Computational Linguistics. ed. / Donia Scott; Nuria Bel; Chengqing Zong. International Committee on Computational Linguistics, 2020. p. 6542–6552.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - XED

T2 - International Conference on Computational Linguistics

AU - Öhman, Emily

AU - Pàmies, Marc

AU - Kajava, Kaisla

AU - Tiedemann, Jörg

N1 - Conference code: 28

PY - 2020

Y1 - 2020

N2 - We introduce XED, a multilingual fine-grained human-annotated emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 43 additional languages, providing new resources to many low-resource languages. We use Plutchik’s core emotions to annotate the dataset with the addition of neutral. The dataset is carefully evaluated using language-specific BERT to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.

AB - We introduce XED, a multilingual fine-grained human-annotated emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 43 additional languages, providing new resources to many low-resource languages. We use Plutchik’s core emotions to annotate the dataset with the addition of neutral. The dataset is carefully evaluated using language-specific BERT to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.

KW - 6121 Languages

KW - 113 Computer and information sciences

U2 - 10.18653/v1/2020.coling-main.575

DO - 10.18653/v1/2020.coling-main.575

M3 - Conference contribution

SP - 6542

EP - 6552

BT - Proceedings of the 28th International Conference on Computational Linguistics

A2 - Scott, Donia

A2 - Bel, Nuria

A2 - Zong, Chengqing

PB - International Committee on Computational Linguistics

Y2 - 8 December 2020 through 13 December 2020

ER -

XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection

Abstract

Fields of Science

Access to Document

Datasets

XED

XED

Cite this