Created
October 18, 2017 19:46
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TextBlob Sample Usage
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from textblob import TextBlob | |
text = """TextBlob aims to provide access to common text-processing operations through a familiar interface. / | |
You can treat TextBlob objects as if they were Python strengs that learned how to do Natural Language Processing.""" | |
#"This is bad " = Sentiment Sentiment(polarity=-0.6999999999999998, subjectivity=0.6666666666666666) | |
#"This is Good" = Sentiment Sentiment(polarity=0.7, subjectivity=0.6000000000000001) | |
blob = TextBlob(text) | |
print(blob.) | |
#print(blob.noun_phrases) | |
#print('Sentiment '+str(blob.sentiment)) | |
#print('Translate '+str(blob.translate(to="en"))) | |
#print('tags '+str(blob.tags)) | |
#print('polarity '+str(blob.polarity)) | |
#print(blob.words) | |
#print(blob.word_counts) | |
#print(blob.sentences) | |
#print(blob.correct()) | |
#print(blob.find('Processing.')) | |
#print('noun phrases '+str(blob.noun_phrases)) | |
#print('serialized '+str(blob.serialized)) | |
#print('classify '+str(blob.classify())) |
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