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Text corpora in NLTK

Theory

Extract a positive sentence

Report a typo

In the input, you have a row number of a sentence from the NLTK movie reviews corpus. Your task is to print out a positive sentence (from the positive subcorpus) as a list of tokens.

Sample Input 1: 

0

Sample Output 1: 

['films', 'adapted', 'from', 'comic', 'books', 'have', 'had', 'plenty', 'of', 'success', ',', 'whether', 'they', "'", 're', 'about', 'superheroes', '(', 'batman', ',', 'superman', ',', 'spawn', ')', ',', 'or', 'geared', 'toward', 'kids', '(', 'casper', ')', 'or', 'the', 'arthouse', 'crowd', '(', 'ghost', 'world', ')', ',', 'but', 'there', "'", 's', 'never', 'really', 'been', 'a', 'comic', 'book', 'like', 'from', 'hell', 'before', '.']
Write a program in Python 3
# Don't download movie_reviews. Just import it


number = int(input()) # row number of a sentence in Movie reviews corpus
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