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词袋模型
了解词袋模型（bag-of-words）及其如何使用 Python 生成其表示形式。
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应用词袋模型进行文本预处理的步骤
1import pandas as pd 2from sklearn.feature_extraction.text import CountVectorizer 3 4data = pd.read_csv('reviews.csv') 5reviews = data['review_text'] 6vectorizer = CountVectorizer() 7X = vectorizer.fit_transform(reviews) 8feature_names = vectorizer.get_feature_names_out() 9X_array = X.toarray() 10bow_df = pd.DataFrame(X_array, columns=feature_names) 11print(bow_df)