ola5doc/output/sources/filtre.py

from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
import re
 
data = "Sous le pont Mirabeau coule la Seine Et nos amours Faut-il qu'il m'en souvienne..."
stopWords = set(stopwords.words('french'))
words = word_tokenize(data)

wordsFiltered = []
 
for w in words:
    if w not in stopWords:
        wordsFiltered.append(w)
 
print(wordsFiltered)
#print(len(stopWords))
#print(stopWords)