This model is a distilled RoBERTa-base fine-tuned on English text for emotion recognition. It classifies text into categories such as anger, disgust, fear, joy, neutral, sadness, and surprise. The model is lightweight and suitable for integration into applications requiring real-time emotion analysis of written content. It is hosted on Hugging Face and can be used with the Transformers library.
Emotion English Distilroberta Base sits in PulseGate's Other AI category. Automatically detecting emotional content in English text for applications like sentiment analysis and customer feedback processing. It is built as an open-source project for developers and researchers. Emotion English Distilroberta Base is open source under the Open Source license. It runs on the web and API.
Behind Emotion English Distilroberta Base is Jochen Hartmann, and it first shipped in 2022. Among its 3 catalogued features are Emotion Detection, Text Classification, and Distilled Model.
Summary written by a language model from the project’s public pages.
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