不能创建语料库的字典吗？

Question

语料库 = []

pstem = PorterStemmer()
for i in range(data_train['text'].shape[0]):
    #Remove unwanted words
    tweet = re.sub("[^a-zA-Z]", ' ', data_train['text'][i])
    #Transform words to lowercase
    tweet = tweet.lower()
    tweet = tweet.split()
    #Remove stopwords then Stemming it
    tweet = [pstem.stem(word) for word in tweet if not word in set(stopwords.words('english'))]
    tweet = ' '.join(tweet)
    #Append cleaned tweet to corpus
    corpus.append(tweet)
    
print("Corpus created successfully")


print(pd.DataFrame(corpus)[0].head(10))

rawTexData = data_train["text"].head(10)
cleanTexData = pd.DataFrame(corpus[0]).head(10)

frames = [rawTexData, cleanTexData]
result = pd.concat(frames, axis=1, sort=False)
result

#Create our dictionary 
uniqueWordFrequents = {}
for tweet in corpus:
 

for word in tweet.split():
        if(word in uniqueWordFrequents.keys()):
            uniqueWordFrequents[word] += 1
        else:
            uniqueWordFrequents[word] = 1

你好，请问我在尝试创建语料库词典时遇到了困难， 错误是： AttributeError：“系列”对象没有属性“拆分”

然后我试着在这里写 str.split:: 对于 tweet.str.split() 中的单词： 我也有错误： 该列表是可清除的

我呆了这么多小时 我是机器学习初学者，需要帮助，谢谢