why do I have to apply Countvectorizer on a smaller sample and then make the data frame? why can't I apply a count vectorizer to a large sample and create a data frame out of it?
here is my code := from sklearn.feature_extraction.text import CountVectorizer cv = CountVectorizer()
X = cv.fit_transform(data['Pros_clean_lemma']) print(X.shape)
output ; (128734, 26537)