Python 如何将列表对象作为字符串传递？

我正在使用Textblob分析一本书的全文，通过单独分析句子来聚合章节的语气。我有一个脚本，可以将章节转换为单个句子的列表，但我无法找到一种方法将这些列表对象作为字符串传递给Naive Bayes分析器，因为它只需要字符串输入

到目前为止，我只尝试将整个列表作为参数传递，但它总是给我相同的错误

 TypeError: The `text` argument passed to `__init__(text)` must be a string, 
 not <class 'list'>

我的列表如下所示：

sentences = ['Maria was five years old the first time she heard the word 
hello.\n', 'It happened on a Thursday.\n',]

                                         Line          Polarity Subjectivity Classification
0    Mariam was five years old the first time sh      0.175000   0.266667   Pos                                                 
1    It happened on a Thursday.                       0.000000   0.000000 Neu

如何修改此代码以接收整个句子列表并将输出作为数据帧传递？如果可能的话，我想要这样的东西：

sentences = ['Maria was five years old the first time she heard the word 
hello.\n', 'It happened on a Thursday.\n',]

                                         Line          Polarity Subjectivity Classification
0    Mariam was five years old the first time sh      0.175000   0.266667   Pos                                                 
1    It happened on a Thursday.                       0.000000   0.000000 Neu

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你的意思是像这样构造一个数据帧吗。至少这是我从你的问题中理解的。 我假设你有一个句子列表，在运行分析器之前，我把它们连接到一个段落中

import pandas as pd
from textblob import TextBlob

from textblob.sentiments import NaiveBayesAnalyzer

df = pd.DataFrame(columns = ['Line','Polarity', 'Subjectivity' ,'Classification'])
sentences = ['Maria was five years old the first time she heard the word hello.\n', 'It happened on a Thursday.\n',]

blob = TextBlob("".join(sentences),analyzer=NaiveBayesAnalyzer())
for sentence in blob.sentences:
    df.loc[len(df)] = [str(sentence),sentence.polarity, sentence.subjectivity,sentence.sentiment.classification]
print(df)

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除非

textblob

允许您传入字符串以外的任何内容，否则您必须手动将其映射到字符串上。您的意思是手动输入每个字符串？这是不可能的，因为有数千行这样的文字和读数需要记录。有没有一种方法可以使用在列表上运行的循环，将字符串一个接一个地输入textblob？请尝试下面的解决方案