CODEWITHSUNDEEP
pythonfilternltkpos-tagger
saph_top
saph_top

Reputation: 677

Filter Specific Part of Speech NLTK

this must be simple but I'm missing it somehow. I have the code:

import nltk

f=open('...\\t.txt','rU')
raw=f.read()
tokens = nltk.word_tokenize(raw)
print nltk.pos_tag(tokens)

which returns for instance:

"[('processes', 'NNS'), ('a', 'DT'), ('sequence', 'NN'), ('of', 'IN'), ('words', 'NNS')]

I was wondering how I could just collected solely all 'NN' for example or all 'DT' AND 'IN' instead of every member of the string.

thanks in advance

Upvotes: 3

Views: 4773

Answers (1)

jonrsharpe
jonrsharpe

Reputation: 122032

You can extract only the tags you want with a list comprehension, e.g.:

>>> tags = nltk.pos_tag(tokens)
>>> dt_tags = [t for t in tags if t[1] == "DT"]
>>> dt_tags
[('a', 'DT')]

Upvotes: 5

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