textblob-aptagger

As of TextBlob 0.11.0, TextBlob uses NLTK's averaged perceptron tagger by default. This package is no longer necessary.

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.