Aroma-Jewel/KERC-2022-4th
전남대학교 | 제4회 한국인 감정인식 국제경진대회(KERC) 수행한 코드 레포입니다,
This project provides a system for automatically identifying emotions in Korean conversational text. It takes raw text data from Korean dialogues and analyzes it to predict the dominant emotion, categorizing it into labels like happiness, anger, or sadness. This tool would be useful for researchers, linguists, or content analysts studying sentiment and emotional patterns in Korean language data.
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Use this if you need to automatically categorize the emotions expressed within Korean conversational text, such as dialogue from dramas or chat logs.
Not ideal if your data is not in Korean or if you need to analyze emotions from non-textual sources like images or audio.
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Language
Python
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Last pushed
Mar 20, 2023
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