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% |
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