Advertisement
Guest User

Untitled

a guest
Jun 25th, 2019
70
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.24 KB | None | 0 0
  1. from sklearn.feature_extraction.text import CountVectorizer as cv
  2. from sklearn.feature_extraction.text import TfidfTransformer as tft
  3.  
  4. vect=cv(stop_words='english',lowercase=True)
  5. count=vect.fit_transform(X['comment_text'])
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement