Alvarez-Gonzalez, NurudinKaltenbrunner, AndreasGómez, Vicenç2022-06-212022-06-212021Alvarez-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.2021.1001792665-9638http://hdl.handle.net/10230/53536Identifying 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.application/pdfeng© 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/).info:eu-repo/semantics/articlehttp://doi.org/10.1016/j.simpa.2021.100179Natural language processingEmotion detectionMultilabel classificationResearch showcaseinfo:eu-repo/semantics/openAccess