https://github.com/sloria/textblob-fr

French language support for TextBlob.
https://github.com/sloria/textblob-fr

Last synced: 8 days ago
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French language support for TextBlob.

• Host: GitHub
• URL: https://github.com/sloria/textblob-fr
• Owner: sloria
• License: mit
• Created: 2013-09-18T05:41:39.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2020-07-01T09:09:00.000Z (over 4 years ago)
• Last Synced: 2024-10-04T12:00:10.007Z (about 1 month ago)
• Language: Python
• Homepage:
• Size: 721 KB
• Stars: 58
• Watchers: 4
• Forks: 19
• Open Issues: 10
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

Awesome Lists containing this project

README

        
===========

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 `_ 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 `_ file for more details.

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