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French language support for TextBlob.

Project description

Latest version Travis-CI

French language support for TextBlob.


  • Part-of-speech tagging (PatternTagger)
  • Sentiment analysis (PatternAnalyzer)
  • Supports Python 2 and 3


If you have pip installed (you should), run

$ pip install -U textblob
$ pip install -U textblob-fr


>>> from textblob import TextBlob
>>> from textblob_fr import PatternTagger, PatternAnalyzer
>>> text = u"Quelle belle matinée"
>>> blob = TextBlob(text, pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
>>> blob.tags
[(u'Quelle', u'DT'), (u'belle', u'JJ'), (u'matin\xe9e', u'NN')]
>>> blob.sentiment
(0.8, 0.8)

Alternatively, you can use the Blobber class to avoid having to repeatedly pass the models into the TextBlob constructor.

>>> from textblob import Blobber
>>> from textblob_fr import PatternTagger, PatternAnalyzer
>>> tb = Blobber(pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
>>> blob1 = tb(u"Quelle belle matinée")
>>> blob1.sentiment
(0.8, 0.8)
>>> blob2 = tb(u"C'est une voiture terribles.")
>>> blob2.sentiment
(-0.7, 0.6)
>>> blob1.analyzer is blob2.analyzer


  • Python >= 2.6 or >= 3.3


  • Tokenization
  • Parsing
  • NLTK tagging?


MIT licensed. See the bundled LICENSE file for more details.


0.2.0 (10/27/2013)

  • Compatibility with TextBlob>=0.8.0.

0.1.0 (09/25/2013)

  • First release
  • Basically a thin, Py3-compatible wrapper around Hooks to pattern’s tagger and sentiment analyzer.

0.0.1 (09/22/2013)

  • Experimental release.

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