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spacy french stopwords

from spacy.lang.fr.stop_words import STOP_WORDS as fr_stop
from spacy.lang.en.stop_words import STOP_WORDS as en_stop

final_stopwords_list = list(fr_stop) + list(en_stop)
tfidf_vectorizer = TfidfVectorizer(max_df=0.8, max_features=200000, min_df=0.2, stop_words=final_stopwords_list, use_idf=True, tokenizer=tokenize_and_stem, ngram_range(1,3))

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remove french stopwords with spacy

from spacy.lang.fr.stop_words import STOP_WORDS as fr_stop
from spacy.lang.en.stop_words import STOP_WORDS as en_stop

final_stopwords_list = list(fr_stop) + list(en_stop)
tfidf_vectorizer = TfidfVectorizer(max_df=0.8, max_features=200000, min_df=0.2, stop_words=final_stopwords_list, use_idf=True, tokenizer=tokenize_and_stem, ngram_range(1,3))

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spacy french stopwords

from nltk.corpus import stopwords

final_stopwords_list = stopwords.words('english') + stopwords.words('french')
tfidf_vectorizer = TfidfVectorizer(max_df=0.8, max_features=200000, min_df=0.2, stop_words=final_stopwords_list, use_idf=True, tokenizer=tokenize_and_stem, ngram_range(1,3))

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remove french stopwords with spacy

from nltk.corpus import stopwords

final_stopwords_list = stopwords.words('english') + stopwords.words('french')
tfidf_vectorizer = TfidfVectorizer(max_df=0.8, max_features=200000, min_df=0.2, stop_words=final_stopwords_list, use_idf=True, tokenizer=tokenize_and_stem, ngram_range(1,3))

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spacy french stopwords

remove french stopwords with spacy

spacy french stopwords

remove french stopwords with spacy

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