Update README.md

README.md

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+# Description
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+This model takes a tweet with the word "jew" in it, and determines if it's antisemitic.
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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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+The goal for this model is not to be used as a final say on what is or is not antisemitic, but rather as a first pass on what might be antisemitic and should be reviewed by human experts.
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+Please keep in mind that I'm not an expert on antisemitism or hatespeech.
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+Whether something is antisemitic or not depends on the context, as for any hate speech, and everyone has a different definition for what is hate speech.
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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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 # Model Trained Using AutoNLP
 
 - Problem type: Binary Classification