readme: ---
  language:
  - en
  tags:
  - sentiment-analysis
  - sklearn
  ---
  
  ## 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%
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  