Tag

A module for tagging Corpus instances.

This module provides a default pos_tagger that can be used for POSTagging an English corpus:

>>> from orangecontrib.text.corpus import Corpus
>>> from orangecontrib.text.tag import AveragedPerceptronTagger
>>> corpus = Corpus.from_file('deerwester.tab')
>>> tagger = AveragedPerceptronTagger()
>>> tagged_corpus = tagger(corpus)
>>> tagged_corpus.pos_tags[0]  # you can use `pos_tags` attribute to access tags directly
['JJ', 'NN', 'NN', 'IN', 'NN', 'NN', 'NN', 'NNS']
>>> next(tagged_corpus.ngrams_iterator(include_postags=True))  # or `ngrams_iterator` to iterate over documents
['human_JJ', 'machine_NN', 'interface_NN', 'for_IN', 'lab_NN', 'abc_NN', 'computer_NN', 'applications_NNS']
class orangecontrib.text.tag.POSTagger(tagger)[source]

A class that wraps nltk.TaggerI and performs Corpus tagging.

__init__(tagger)[source]