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

Project Description

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.
Release History

Release History

This version
History Node

0.2.0

History Node

0.1.0

History Node

0.0.1

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
textblob_aptagger-0.2.0-py2.py3-none-any.whl (3.4 MB) Copy SHA256 Checksum SHA256 2.7 Wheel Oct 28, 2013
textblob-aptagger-0.2.0.tar.gz (3.4 MB) Copy SHA256 Checksum SHA256 Source Oct 28, 2013

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