text_plain_output_1.png
from sklearn.feature_extraction.text import CountVectorizer

X_train.shape

from sklearn.feature_extraction.text import CountVectorizer
vect = CountVectorizer().fit(X_train)

len(vect.get_feature_names())

vect.get_feature_names()[0:10]

vect.get_feature_names()[::3000]