答：from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction.text import TfidfTransformer from sklearn.naive_bayes import MultinomialNB# 读入数据 train_data = [... ] test_data = [... ]# 创建词向量 cv = CountVectorizer() X_train = cv.fit_transform(train_data) X_test = cv.tran
写一段使用贝叶斯分类，使用CountVectorizer进行向量化并并采用TF-IDF加权的代码...
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