Extracting all Nouns from a text file using nltk

Question

Is there a more efficient way of doing this? My code reads a text file and extracts all Nouns.

import nltk

File = open(fileName) #open file
lines = File.rea         


        

Answer 1

import nltk
lines = 'lines is some string of words'
tokenized = nltk.word_tokenize(lines)
nouns = [word for (word, pos) in nltk.pos_tag(tokenized) if(pos[:2] == 'NN')]
print (nouns)

Just simplied abit more.