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.
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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