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  **Features**
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  <br>
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  **text:** This feature variable has all sort of texts, sentences, tweets, etc.
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  <br>
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- **labels:** This target variable contains 3 types of numeric values as sentiments such as 0, 1 and 2. Where 0 means Negative, 1 means Neutral and 2 means Positive.
 
 
 
 
 
 
 
 
 
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+ **Brief idea about dataset**:
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+ <br>
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+ This dataset is designed for a Text Classification to be specific Multi Class Classification, inorder to train a model (Supervised Learning) for Sentiment Analysis.
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+ <br>
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+ Also to be able retrain the model on the given feedback over a wrong predicted sentiment this dataset will help to manage those things using **Other Features**.
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+ <br>
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+ <br>
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  **Features**
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  <br>
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  **text:** This feature variable has all sort of texts, sentences, tweets, etc.
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  <br>
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+ **labels:** This target variable contains 3 types of numeric values as sentiments such as 0, 1 and 2. Where 0 means Negative, 1 means Neutral and 2 means Positive.
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+ <br>
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+ <br>
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+ **Other Features**
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+ <br>
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+ **preds:**
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+ **feedback:**
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+ **retrain_labels:**
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+ **retrained_preds:**