EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

Sven Buechel, Udo Hahn


Abstract
We describe EmoBank, a corpus of 10k English sentences balancing multiple genres, which we annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format. EmoBank excels with a bi-perspectival and bi-representational design. On the one hand, we distinguish between writer’s and reader’s emotions, on the other hand, a subset of the corpus complements dimensional VAD annotations with categorical ones based on Basic Emotions. We find evidence for the supremacy of the reader’s perspective in terms of IAA and rating intensity, and achieve close-to-human performance when mapping between dimensional and categorical formats.
Anthology ID:
E17-2092
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
578–585
Language:
URL:
https://aclanthology.org/E17-2092
DOI:
Bibkey:
Cite (ACL):
Sven Buechel and Udo Hahn. 2017. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 578–585, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis (Buechel & Hahn, EACL 2017)
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PDF:
https://aclanthology.org/E17-2092.pdf
Code
 JULIELab/EmoBank