MemoryError, и я работаю с python 64 бит

Question

Я работаю над классификационным текстом с 3 функциями (название, автор, текст). мои данные - 18285 строк, после очистки и помещения каждого вывода в корпус

    # title_coups
    title = []
    for i in range(0,len(data)):
        review = re.sub('[^a-zA-Z0-9]', ' ', data['title'][i])
        review = review.lower()
        review = review.split()
        all_stopwords = stopwords.words('english')
        all_stopwords.remove('not')
        ps = PorterStemmer()
        review = [ps.stem(word) for word in review if not word in 
 set(all_stopwords)]
        review = ' '.join(review)
        title.append(review)
    #body_corpus
    body = []
    for i in range(0,len(data)):
        review = re.sub('[^a-zA-Z0-9]', ' ', data['text'][i])
        review = review.lower()
        review = review.split()
        all_stopwords = stopwords.words('english')
        all_stopwords.remove('not')
        ps = PorterStemmer()
        review = [ps.stem(word) for word in review if not word in set(all_stopwords)]
        review = ' '.join(review)
        body.append(review)
    #author_corpus
    author = []
    for i in range(0,len(data)):
        review = re.sub('[^a-zA-Z]', ' ', data['author'][i])
        review = re.sub(r"and",'',review,flags=re.I)
        review = review.lower()
        review = review.split()
        review = ' '.join(review)
        author.append(review)

у меня проблема с TfidfVectorizer при лечении body_corpus

vectorizer = TfidfVectorizer()
vectors = vectorizer.fit_transform(body)
feature_names = vectorizer.get_feature_names()
dense = vectors.todense()
denselist = dense.tolist()
df_body= pd.DataFrame(denselist, columns=feature_names)
   
 the consul show me :

MemoryError Traceback (последний вызов последний)