Filter Specific Part of Speech NLTK
filter, nltk, pos-tagger, python
Solution
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')]
Problem
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