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Updates to README
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@@ -41,6 +41,9 @@ Examples
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>>> sentiment('Really enjoyed the movie.')
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{u'Sentiment': 0.8105182526856075}
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>>> text_tags("On Monday, president Barack Obama will be...")
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{u'fashion': 0.024739582352183764, u'art': 0.008637280256320275, u'energy': 0.013183388999943419, ...}
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>>> test_face = np.linspace(0,50,48*48).reshape(48,48).tolist()
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>>> fer(test_face)
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