Question

我使用文本blob在Python中编写了用于lemmatize句子的代码，但我没有得到预期的结果：

def get_lemmatize_text(transcript):
    transcript = transcript.strip()
    blob = TextBlob(transcript)
    for word in blob:
        expected_str = Word(word)
        expected_str = expected_str.lemmatize()
    return expected_str
print(get_lemmatize_text("he had not received the four letters we d sent him as he had been travelling for the whole of august and hadn t received any call or text from us . he has just arrived today and has called us straight away . he has also just of his account when he had asked for it to be cancelled before it switched from the first additions datestr . he says he received contact from us that we were looking into this but doesnot have that to hand"))

我得到以下输出： d

出了什么问题？任何人都可以帮助我或纠正我吗？

Answer 1

您的代码以明智的字符.split()迭代句子将会处理它。然后你没有保留你的结果，这就是为什么你得到最后一次迭代的结果list追加将会处理它。如果你解决了这两个问题你的代码将正常工作:) 试试这个，

   blob = TextBlob(transcript).split()
   result=[]
   for word in blob:
        expected_str = Word(word)
        expected_str = expected_str.lemmatize()
        result.append(expected_str)
   return result #or try this return ' '.join(result)

在python中使用Textblob的Lemmatize

1 个答案: