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a guest Oct 23rd, 2018 60 Never
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  1. def max_sentiment_class(row):
  2.     sentiment_columns = ["neg", "neu", "pos"]
  3.     idx_max = np.argmax(row[sentiment_columns].values)
  4.     return sentiment_columns[idx_max]
  5.    
  6. df['sentiment_class'] = df.apply(lambda x: max_sentiment_class(x), axis=1)
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