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Homepage: https://textblob.readthedocs.io/
TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
from textblob import TextBlobtext = '''The titular threat of The Blob has always struck me as the ultimate moviemonster: an insatiably hungry, amoeba-like mass able to penetratevirtually any safeguard, capable of--as a doomed doctor chillinglydescribes it--"assimilating flesh on contact.Snide comparisons to gelatin be damned, it's a concept with the mostdevastating of potential consequences, not unlike the grey goo scenarioproposed by technological theorists fearful ofartificial intelligence run rampant.'''blob = TextBlob(text)blob.tags # [('The', 'DT'), ('titular', 'JJ'), blob.noun_phrases # WordList(['titular threat', 'blob', # 'ultimate movie monster', # 'amoeba-like mass', ...])for sentence in blob.sentences: print(sentence.sentiment.polarity)# 0.060# -0.341blob.translate(to="es") # 'La amenaza titular de The Blob...'TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both.
FeaturesSee more examples at the Quickstart guide.
DocumentationFull documentation is available at https://textblob.readthedocs.io/.
RequirementsMIT licensed. See the bundled LICENSE file for more details.
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