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 ...
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.
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