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- def max_sentiment_class(row):
- sentiment_columns = ["neg", "neu", "pos"]
- idx_max = np.argmax(row[sentiment_columns].values)
- return sentiment_columns[idx_max]
- df['sentiment_class'] = df.apply(lambda x: max_sentiment_class(x), axis=1)
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