nicolay-r/THOR-ECAC
The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)
This project helps identify emotions and their specific causes within conversations. You input a conversation (speaker and text for each message), and it outputs pairs linking an emotion in one message to the exact text that caused it in another message. This is useful for researchers and analysts studying human emotion and interaction in textual data.
Use this if you need to automatically pinpoint the causal relationships between emotions and specific conversational turns in text dialogues.
Not ideal if you're looking for general sentiment analysis or emotion detection without the need to identify precise causal spans.
Stars
11
Forks
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Language
Python
License
Apache-2.0
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
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