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@@ -35,7 +35,7 @@ And then used Loughran-McDonald sentiment lexicon and Use FinancialPhraseBank [M
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  ## Results
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- Best Result of `Micro F1` - 91.8%
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  ## Usage
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  ```python
@@ -47,8 +47,8 @@ model = AutoModelForSequenceClassification.from_pretrained("NLPScholars/Roberta-
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  # Contributors
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- *Sumit Ranjan- sumit.ranjan819@gmail.com*,
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- *Aanchal Varma- aanchalvarma511@gmail.com*,
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- *Akshul Mittal- akshull.mittal@gmail.com*
 
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  ## Results
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+ Best Result of `Micro F1` - 82.8%
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  ## Usage
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  ```python
 
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  # Contributors
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+ * Sumit Ranjan- sumit.ranjan819@gmail.com,
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+ * Aanchal Varma- aanchalvarma511@gmail.com,
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+ * Akshul Mittal- akshull.mittal@gmail.com