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How to implement a textblob for sentiment analysis in python with NLTK. Suppose I have data...

How to implement a textblob for sentiment analysis in python with NLTK. Suppose I have data and I want to find the polarity of positive and negative accuracy and runtime.
I have already seen the examples on finding the sentiment on word. But how do I do it with a whole bunch of text files of positive and negative files. Please explain me and include screen shots.
Thanks
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Answer #1

Model of textblob in python.

from textblob import TextBlob

text = '''

blob = TextBlob(text)

blob.tags

blob.nounphrases

for sentence in blob.sentences:

print(sentence. sentiment. polarity)

blob translate(to='es')

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