=========== textblob-fr

.. image:: https://badge.fury.io/py/textblob-fr.png :target: http://badge.fury.io/py/textblob-fr :alt: Latest version

.. image:: https://travis-ci.org/sloria/textblob-fr.png?branch=master :target: https://travis-ci.org/sloria/textblob-fr :alt: Travis-CI

French language support for TextBlob_.

Features

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

Installing/Upgrading

If you have pip <http://www.pip-installer.org/>_ installed (you should), run ::

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

Usage

.. code-block:: python

>>> 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.

.. code-block:: python

>>> 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
True

Requirements

• Python >= 2.6 or >= 3.3

TODO

• Tokenization
• Parsing
• NLTK tagging?

License

MIT licensed. See the bundled LICENSE <https://github.com/sloria/textblob-fr/blob/master/LICENSE>_ file for more details.

.. _TextBlob: https://textblob.readthedocs.org/