Overview
Sentinet V1 is a collection of models to thoroughly analyze the sentiments, emotions of a given text.
The underlying algorithm is TF-IDF Vectorization followed by Logistic Regression
Performance
sentiment_class | auroc_score |
---|---|
sentiment_polarity | 95.04% |
opinion | 70.64% |
toxicity | 96.12% |
toxicity__hate | 97.43% |
toxicity__insult | 97.04% |
toxicity__obscene | 98.44% |
toxicity__sexual_explicit | 98.49% |
toxicity__threat | 98.25% |
emotion__anger | 86.36% |
emotion__disgust | 85.15% |
emotion__fear | 93.03% |
emotion__guilt | 81.70% |
emotion__humour | 97.69% |
emotion__joy | 85.87% |
emotion__no_emotion | 80.08% |
emotion__sadness | 91.04% |
emotion__shame | 84.19% |
emotion__surprise | 87.55% |
- Downloads last month
- 0