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README.md
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@@ -19,7 +19,7 @@ It aims to classify text, such as comments, based on their emotional bias. We te
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## Results
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The model obtained an F1 score of 87.56% for a composition of all three datasets
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### BibTeX entry and citation info
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## Results
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The model obtained an F1 score of 87.56% for a composition of all three datasets into a binary-labels `Negative` and `Positive`.
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### BibTeX entry and citation info
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