textblob-fr 0.0.1

Features

• Part-of-speech tagging (PatternTagger)

• Sentiment analysis (PatternAnalyzer)

• Supports Python 2 and 3

Install

If you have pip installed (you should), run

$ pip install -U git+https://github.com/sloria/TextBlob.git@dev
$ pip install textblob-fr

Usage

>>> from text.blob 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 text.blob 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.

Changelog