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README.md

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+## Overview
+Sentinet V1 is a collection of models to thoroughly analyze the sentiments, emotions of a given text.
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+The underlying algorithm is TF-IDF Vectorization followed by Logistic Regression
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+## Performance 
+sentiment_class | auroc_score
+---|---:
+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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