choiminji-020102/ko-comments-emotion-analyzer 🔢📝 → ❓
Performance
0.3sTypical run time
~108sCold start (first call)
27Total runs
About
Analyze Korean comments for sentiment classification into negative, positive, and neutral categories (with neutral designated for confidence scores below 0.7), and extract corresponding sentiment-specific keywords.
Example Output
Output
{"keywords":{"neutral":["배고파요"],"negative":["비싸네요"],"positive":["맛있어요"]},"individual_results":[{"id":1,"result":"NEUTRAL"},{"id":2,"result":"POSITIVE"},{"id":3,"result":"NEGATIVE"}]}
Performance Metrics
0.30s
Prediction Time
107.70s
Total Time
All Input Parameters
{
"ids": [
1,
2,
3
],
"texts": [
"배고파요",
"정말 맛있어요! 추천합니다",
"가격이 좀 비싸네요"
]
}
Input Parameters
- ids
- 각 텍스트 ID 리스트
- texts (required)
- 분석 텍스트 리스트
Output Schema
Output
Example Execution Logs
입력받은 텍스트 리스트 길이: 3 텍스트 리스트: ['배고파요', '정말 맛있어요! 추천합니다', '가격이 좀 비싸네요'] text_id: 1 text: 배고파요 result: NEUTRAL text_id: 2 text: 정말 맛있어요! 추천합니다 result: POSITIVE text_id: 3 text: 가격이 좀 비싸네요 result: NEGATIVE
Version Details
- Version ID
55f49ebbdc50dd9565906847fb96d0621a19e1122536df254d995d61437b0d1f- Version Created
- September 1, 2025