emma = nltk.Text(nltk.corpus.gutenberg.words('austen-emma.txt'))
emma = emma
from sklearn.feature_extraction.text import CountVectorizer
dtm_vectorizer = CountVectorizer(stop_words='english')
dtm = dtm_vectorizer.fit_transform(emma)
dtm.toarray()出现memoryerror，就是内存超出，但是怎么解决我还不清楚，所以先放在这，记一下，以后再解决
memoryerror
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转载自blog.csdn.net/z2539329562/article/details/79738386
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