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yuyasugano/sentiment_shape.py

Created September 25, 2020 05:11
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Sentiment analysis with NLTK and Scikit-learn
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sentiment_shape.py
print('train_tweets shape: {}, label 0: {}, label 1: {}'.format(
train_tweets.shape,
train_tweets[train_tweets['label']==0].count()['label'],
train_tweets[train_tweets['label']==1].count()['label'])
)
# train_tweets shape: (31962, 3), label 0: 29720, label 1: 2242
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