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Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

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patent-python/TextBlob

 
 

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Latest versionTravis-CI

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.

fromtextblobimportTextBlobtext='''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'),#  ('threat', 'NN'), ('of', 'IN'), ...]blob.noun_phrases# WordList(['titular threat', 'blob',#            'ultimate movie monster',#            'amoeba-like mass', ...])forsentenceinblob.sentences:print(sentence.sentiment.polarity)# 0.060# -0.341blob.translate(to="es")# 'La amenaza titular de The Blob...'

TextBlob stands on the giant shoulders ofNLTK andpattern, and plays nicely with both.

Features

  • Noun phrase extraction
  • Part-of-speech tagging
  • Sentiment analysis
  • Classification (Naive Bayes, Decision Tree)
  • Language translation and detection powered by Google Translate
  • Tokenization (splitting text into words and sentences)
  • Word and phrase frequencies
  • Parsing
  • n-grams
  • Word inflection (pluralization and singularization) and lemmatization
  • Spelling correction
  • Add new models or languages through extensions
  • WordNet integration

Get it now

$ pip install -U textblob$ python -m textblob.download_corpora

Examples

See more examples at theQuickstart guide.

Documentation

Full documentation is available athttps://textblob.readthedocs.io/.

Requirements

  • Python >= 2.7 or >= 3.4

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License

MIT licensed. See the bundledLICENSE file for more details.

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Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

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