Emotion-Core: an open source framework for emotion detection research
Emotion-Core: an open source framework for emotion detection research
Citació
- 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
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Descripció
Resum
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.