XED : A Multilingual Dataset for Sentiment Analysis and Emotion Detection

Emily Öhman; Marc Pàmies; Kaisla Kajava; Jörg Tiedemann

XED : A Multilingual Dataset for Sentiment Analysis and Emotion Detection

Emily Öhman
, Marc Pàmies
, Kaisla Kajava
, Jörg Tiedemann

Not published at Aalto University

University of Helsinki

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

48 Citations (Scopus)

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.

Original language	English
Title of host publication	COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference
Editors	Donia Scott, Nuria Bel, Chengqing Zong
Publisher	Association for Computational Linguistics
Pages	6542-6552
Number of pages	11
ISBN (Electronic)	9781952148279
Publication status	Published - 2020
MoE publication type	A4 Conference publication
Event	International Conference on Computational Linguistics - Virtual, Online, Spain Duration: 8 Dec 2020 → 13 Dec 2020 Conference number: 28

Conference

Conference	International Conference on Computational Linguistics
Abbreviated title	COLING
Country/Territory	Spain
City	Virtual, Online
Period	08/12/2020 → 13/12/2020

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https://aclanthology.org/2020.coling-main.575/

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.), COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference (pp. 6542-6552). Association for Computational Linguistics. https://aclanthology.org/2020.coling-main.575/

@inproceedings{58d20f2074df4e72b083b7b4f4d00c88,

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

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{\textquoteright}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.",

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

note = "Publisher Copyright: {\textcopyright} 2020 COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. All rights reserved.; International Conference on Computational Linguistics, COLING ; Conference date: 08-12-2020 Through 13-12-2020",

year = "2020",

language = "English",

pages = "6542--6552",

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

booktitle = "COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference",

publisher = "Association for Computational Linguistics",

address = "United States",

}

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), COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, pp. 6542-6552, International Conference on Computational Linguistics, Virtual, Online, Spain, 08/12/2020. <https://aclanthology.org/2020.coling-main.575/>

XED : A Multilingual Dataset for Sentiment Analysis and Emotion Detection. / Öhman, Emily; Pàmies, Marc; Kajava, Kaisla et al.
COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. ed. / Donia Scott; Nuria Bel; Chengqing Zong. Association for Computational Linguistics, 2020. p. 6542-6552.

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

TY - GEN

T1 - XED : A Multilingual Dataset for Sentiment Analysis and Emotion Detection

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 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85149710778

M3 - Conference article in proceedings

AN - SCOPUS:85149710778

SP - 6542

EP - 6552

BT - COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference

A2 - Scott, Donia

A2 - Bel, Nuria

A2 - Zong, Chengqing

PB - Association for Computational Linguistics

T2 - International Conference on Computational Linguistics

Y2 - 8 December 2020 through 13 December 2020

ER -

XED : A Multilingual Dataset for Sentiment Analysis and Emotion Detection

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