monologg/GoEmotions-Korean
Korean version of GoEmotions Dataset 😍😢😱
This project helps you understand the emotions expressed in Korean text, specifically Reddit comments. You input Korean sentences or short texts, and it outputs a list of 28 possible emotions (like joy, sadness, anger, curiosity) that are present in each text, along with a confidence score. This tool is for social media analysts, customer feedback specialists, or researchers who need to categorize emotional content in Korean online discussions.
No commits in the last 6 months.
Use this if you need to automatically identify and categorize a wide range of emotions from Korean text data, especially from social media comments.
Not ideal if you require highly nuanced or context-specific emotion analysis for formal Korean texts, as the model was trained on machine-translated Reddit comments, which may impact quality.
Stars
57
Forks
16
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 12, 2023
Commits (30d)
0
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