这是新事物，但尝试创建一个循环，将为数据框的每一行应用1,0情感得分

    def my_sentiment_analyzer(documents):

    preds = np.zeros(len(documents))

    for i,doc in enumerate(documents):
        scores=sid.polarity_scores(documents)

        if scores["compound"] >= 0.05:
            preds[i] = 1
        else:
            preds[i] = 0

    return preds

当我在df上运行

preds = my_sentiment_analyzer(df['text'])

我知道

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-68-e1ccf893746d> in <module>
----> 1 preds = my_sentiment_analyzer(df['text'])

<ipython-input-67-58debf7737a4> in my_sentiment_analyzer(documents)
      5 
      6     for i,doc in enumerate(documents):
----> 7         scores=sid.polarity_scores(documents)
      8 
      9         if scores["compound"] >= 0.05:

C:\programdata\Anaconda3\lib\site-packages\nltk\sentiment\vader.py in polarity_scores(self,text)
    351         valence.
    352         """
--> 353         sentitext = SentiText(text)
    354         # text,words_and_emoticons,is_cap_diff = self.preprocess(text)
    355 

C:\programdata\Anaconda3\lib\site-packages\nltk\sentiment\vader.py in __init__(self,text)
    282     def __init__(self,text):
    283         if not isinstance(text,str):
--> 284             text = str(text.encode('utf-8'))
    285         self.text = text
    286         self.words_and_emoticons = self._words_and_emoticons()

C:\programdata\Anaconda3\lib\site-packages\pandas\core\generic.py in __getattr__(self,name)
   5177             if self._info_axis._can_hold_identifiers_and_holds_name(name):
   5178                 return self[name]
-> 5179             return object.__getattribute__(self,name)
   5180 
   5181     def __setattr__(self,name,value):

AttributeError: 'Series' object has no attribute 'encode'

我们将不胜感激！