
## 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%


















{"language": ["en"], "tags": ["sentiment-analysis", "sklearn"]}
sklearn sentiment-analysis en region:us
TAGS
#sklearn #sentiment-analysis #en #region-us 

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
-----------




TAGS
#sklearn #sentiment-analysis #en #region-us 

passage: TAGS
#sklearn #sentiment-analysis #en #region-us 
