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Update README.md

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@@ -20,16 +20,14 @@ This dataset is designed for a Text Classification to be specific Multi Class Cl
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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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- | **Main Features** | |
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- |----------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | text | labels |
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  |----------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | This feature variable has all sort of texts, sentences, tweets, etc. | 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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- | **Other Features** | |
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- |----------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | preds | feedback | retrain_labels | retrained_preds |
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  |----------------------------------------------------------|--------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------|
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  | In this variable all predictions are going to be stored. | In this variable user can enter either yes or no to indicate whether the prediction is right or wrong. | In this variable user will enter the correct label as a feedback inorder to retrain the model. | In this variable all predictions after feedback loop are going to be stored. |
 
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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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+ **Main Features**
 
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  | text | labels |
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  |----------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | This feature variable has all sort of texts, sentences, tweets, etc. | 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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+ **Other Features**
 
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  | preds | feedback | retrain_labels | retrained_preds |
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  |----------------------------------------------------------|--------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------|
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  | In this variable all predictions are going to be stored. | In this variable user can enter either yes or no to indicate whether the prediction is right or wrong. | In this variable user will enter the correct label as a feedback inorder to retrain the model. | In this variable all predictions after feedback loop are going to be stored. |