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Update README.md

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@@ -23,7 +23,8 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
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  ## Intended uses & limitations
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@@ -31,7 +32,8 @@ More information needed
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  ## Training and evaluation data
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- More information needed
 
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  ## Training procedure
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  ## Model description
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+ classify text to ["very negative", "negative", "neutral", "positive", "very positive"] if corresponding to labels [0,1,2,3,4]
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  ## Intended uses & limitations
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  ## Training and evaluation data
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+ used dataset from stanford sentiment analysis
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  ## Training procedure
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