Abraham Starosta
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README.md
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@@ -9,7 +9,9 @@ This model takes a tweet with the word "jew" in it, and determines if it's antis
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*Training data:*
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This model was trained on 4k tweets, where ~50% were labeled as antisemitic.
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*Note:*
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*Training data:*
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This model was trained on 4k tweets, where ~50% were labeled as antisemitic.
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I labeled them myself based on personal experience and knowledge about common antisemitic tropes.
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*Note:*
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