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bro's coding
sklearn.feature_extraction.text.CountVectorizer.stop_words적용 본문
[AI]/python.sklearn
sklearn.feature_extraction.text.CountVectorizer.stop_words적용
givemebro 2020. 4. 28. 10:33반응형
# Stop_words 적용
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import BernoulliNB
num_of_words=[]
scores_BernoulliNB=[]
vect=CountVectorizer(stop_words='english')
vect.fit(text_train)
num_of_words.append(len(vect.get_feature_names()))
X_train=vect.transform(text_train)
X_test=vect.transform(text_test)
model=BernoulliNB()
model.fit(X_train,y_train)
scores_BernoulliNB.append(model.score(X_test,y_test))
display(num_of_words,scores_BernoulliNB)[75600]
[0.8172]반응형
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