Abraham Starosta
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README.md
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@@ -9,6 +9,8 @@ This model takes a tweet with the word "jew" in it, and determines if it's antis
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This model was trained on 4k tweets, where ~50% were labeled as antisemitic.
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This model is not ready for production, it needs more evaluation and more 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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If you would like to collaborate on antisemitism detection, please feel free to contact me at starosta@alumni.stanford.edu
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This model is not ready for production, it needs more evaluation and more training data.
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