清理并標記化后的數據框測試。from nltk.tokenize import TweetTokenizertt = TweetTokenizer()test['tokenize'] = test['tweet'].apply(tt.tokenize)print(test)輸出0  congratulations dear friend ... [congratulations, dear, friend]1  happy anniversary be happy  ... [happy, anniversary, be, happy]2  make some sandwich          ...          [make, some, sandwich]我想為我的數據創建一個詞袋。以下給了我錯誤：'list'對象沒有屬性'lower'from sklearn.feature_extraction.text import CountVectorizervectorizer = CountVectorizer()BOW = vectorizer.fit_transform(test['tokenize'])print(BOW.toarray())print(vectorizer.get_feature_names())第二個：AttributeError: 'list' object has no attribute 'split'from collections import Countertest['BOW'] = test['tokenize'].apply(lambda x: Counter(x.split(" ")))print(test['BOW'])你能幫我一個方法或兩個。謝謝！