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Update README.md

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@@ -31,6 +31,10 @@ not many risks... just MANY limitations. The training dataset was initially imba
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  Ultimately, I hope some struggling grad or undergrad student can find this model useful for an arbitrary project they desire to prusue
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  ## How to Get Started with the Model
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@@ -83,10 +87,6 @@ for emotion, prob in result['all_probabilities'].items():
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  print(f" {'*' if prob >= result['threshold_used'] else ' '} {emotion}: {prob:.4f}")
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  ```
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- ### My use for the project can be found at the below github link
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-
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- https://github.com/AnnaMarieHo/sentiment-analysis/tree/main
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-
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  #### Training Hyperparameters
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  ## Evaluation
 
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  Ultimately, I hope some struggling grad or undergrad student can find this model useful for an arbitrary project they desire to prusue
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+ ## My use for the project can be found at the below github link
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+
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+ https://github.com/AnnaMarieHo/sentiment-analysis/tree/main
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+
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  ## How to Get Started with the Model
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  print(f" {'*' if prob >= result['threshold_used'] else ' '} {emotion}: {prob:.4f}")
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  ```
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  #### Training Hyperparameters
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  ## Evaluation