tae898/erc
The official implementation of "EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa"
This tool helps researchers and developers analyze the emotional tone of text in conversations. You provide conversational text, and it outputs a classification of the emotion expressed in each utterance (like joy, anger, or sadness). It's designed for natural language processing specialists working with textual dialogue data.
102 stars. No commits in the last 6 months.
Use this if you need to automatically detect and classify emotions within conversational text.
Not ideal if your data includes speech or visual cues, as this tool only processes text.
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102
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26
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Jupyter Notebook
License
MIT
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Last pushed
Jan 26, 2024
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