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A fast and accurate part-of-speech tagger for TextBlob.

Project description

Latest version Travis-CI

A fast and accurate part-of-speech tagger based on the Averaged Perceptron. For use with TextBlob.

Implementation by Matthew Honnibal, a.k.a. syllog1sm. Read more about it here.

Install

If you have pip installed (you should), run

$ pip install -U textblob-aptagger

Usage

>>> from textblob import TextBlob
>>> from textblob_aptagger import PerceptronTagger
>>> blob = TextBlob("Simple is better than complex.", pos_tagger=PerceptronTagger())
>>> blob.tags
[('Simple', u'NN'), ('is', u'VBZ'), ('better', u'JJR'), ('than', u'IN'), ('complex', u'JJ')]

Requirements

  • Python >= 2.6 or >= 3.3

License

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

Changelog

0.2.0 (10/21/2013)

  • Compatibility with Textblob>=0.8.0.

0.1.0 (09/25/2013)

  • First stable release.
  • Ports the PerceptronTagger from TextBlob 0.6.3.

0.0.1 (09/22/2013)

  • Experimental release.

Project details


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textblob-aptagger-0.2.0.tar.gz (3.4 MB view hashes)

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