Scikit Learn CountVectorizer 如何实现文本数据向量化入门？

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pythonfrom sklearn.feature_extraction.text import CountVectorizertexts=[dog cat fish, dog cat cat, fish bird, bird]cv=CountVectorizer()cv_fit=cv.fit_transform(texts)

​​stackoverflow.com/questions/27488446/scikit-learn-countvectorizer​​

from sklearn.feature_extraction.text import CountVectorizer

texts=["dog cat fish","dog cat cat","fish bird", 'bird']
cv = CountVectorizer()
cv_fit=cv.fit_transform(texts)

print(cv.get_feature_names())
print(cv_fit.toarray())
#['bird', 'cat', 'dog', 'fish']
#[[0 1 1 1]
# [0 2 1 0]
# [1 0 0 1]
# [1 0 0 0]]

print(cv_fit.toarray().sum(axis=0))
#[2 3 2 2]