LIN-SHANG/InstructERC
The offical realization of InstructERC
This project helps people understand the emotions expressed in conversations. It takes dialogue text as input and identifies the specific emotion being conveyed in each turn of the conversation. Researchers studying human communication, customer service analysts, or anyone looking to automatically categorize emotional intent in spoken or written exchanges would find this useful.
148 stars. No commits in the last 6 months.
Use this if you need to precisely identify and categorize emotions within conversational data, like customer support transcripts or social media dialogues.
Not ideal if you're looking for a simple sentiment analysis (positive/negative) tool, as this is designed for nuanced emotion recognition.
Stars
148
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11
Language
Python
License
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Last pushed
May 25, 2025
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