from sklearn.feature_extraction.text import CountVectorizer

# 文档集合
docs = [
    "Python 是 编程 语言",
    "Java  是 编程 语言",
]

# BoW 向量化
vectorizer = CountVectorizer()
bow_matrix = vectorizer.fit_transform(docs)

print("词表:", vectorizer.get_feature_names_out())
# 输出: ['Python', 'Java', '是', '编程', '语言']

print("BoW矩阵:")
print(bow_matrix.toarray())
# 输出:
# [[1 0 1 1 1]   # Python文档: Python=1, Java=0, 是=1, 编程=1, 语言=1
#  [0 1 1 1 1]]  # Java文档:  Python=0, Java=1, 是=1, 编程=1, 语言=1