Emotion-Core: an open source framework for emotion detection research
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- dc.contributor.author Alvarez-Gonzalez, Nurudin
- dc.contributor.author Kaltenbrunner, Andreas
- dc.contributor.author Gómez, Vicenç
- dc.date.accessioned 2022-06-21T05:56:59Z
- dc.date.available 2022-06-21T05:56:59Z
- dc.date.issued 2021
- dc.description.abstract Identifying emotions from text is crucial for a variety of real world tasks. We describe Emotion-Core, an OpenSource framework for training, evaluating, and showcasing textual Emotion Detection models. Our framework is composed of two components: Emotion Classification and EmotionUI, which allow researchers to easily extend and reuse existing emotion detection solutions. We discuss the potential impact of our software project, including a recent publication in the findings of the International conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Our code is available and free to use for interested researchers.
- dc.format.mimetype application/pdf
- dc.identifier.citation Alvarez-Gonzalez N, Kaltenbrunner A, Gómez V. Emotion-Core: an open source framework for emotion detection research. Softw Impacts. 2021;10:100179. DOI: 10.1016/j.simpa.2021.100179
- dc.identifier.doi http://doi.org/10.1016/j.simpa.2021.100179
- dc.identifier.issn 2665-9638
- dc.identifier.uri http://hdl.handle.net/10230/53536
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Software impacts. 2021;10:100179.
- dc.rights © 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Natural language processing
- dc.subject.keyword Emotion detection
- dc.subject.keyword Multilabel classification
- dc.subject.keyword Research showcase
- dc.title Emotion-Core: an open source framework for emotion detection research
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion