zerohd4869/DialogueCRN
Source code for ACL-IJCNLP 2021 paper "DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations".
This project helps researchers and developers analyze and identify emotions expressed within spoken conversations. It takes conversation transcripts (text) or audio features as input and outputs the specific emotion detected for each turn in the dialogue (e.g., happy, sad, neutral). Researchers in natural language processing or speech processing who work on understanding human interaction would use this.
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Use this if you need to automatically detect and classify emotions within multi-turn conversations for research or to build emotion-aware systems.
Not ideal if you need a pre-built application for end-users or if your primary interest is single-utterance emotion detection rather than conversational context.
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Language
Python
License
MIT
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Last pushed
Oct 24, 2023
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