Python 如何在nltk中搜索特定的POS标签？

在执行之后，我得到带有等价POS标记的标记化单词。现在我需要知道如何搜索特定的POS标签，这样我就可以在文本中执行一些过滤

您可以使用简单的列表组件：

from nltk.tokenize import word_tokenize
from nltk.tokenize import PunktSentenceTokenizer
#Other lines of code
question = ['Add a device under the name karthik']
responses = ['Added']

if user_text in question:
    token = word_tokenize(user_text)
    custom_sent_tokenizer = PunktSentenceTokenizer([question])
    tokenized = custom_sent_tokenizer.tokenize(user_text)
    for i in tokenized[:5]:
        words = nltk.word_tokenize(i)
        tagged = nltk.pos_tag(words)
        print(tagged)

或者您可以使用：

---

您可以使用一个简单的列表comp：

from nltk.tokenize import word_tokenize
from nltk.tokenize import PunktSentenceTokenizer
#Other lines of code
question = ['Add a device under the name karthik']
responses = ['Added']

if user_text in question:
    token = word_tokenize(user_text)
    custom_sent_tokenizer = PunktSentenceTokenizer([question])
    tokenized = custom_sent_tokenizer.tokenize(user_text)
    for i in tokenized[:5]:
        words = nltk.word_tokenize(i)
        tagged = nltk.pos_tag(words)
        print(tagged)

或者您可以使用：

---

非常感谢你！第一种方法对我不管用，但第二种方法管用。非常感谢！第一种方法对我不管用，但第二种方法管用。

>>> sentence = "I am seated in an office, surrounded by heads and bodies."
>>> tokenized = word_tokenize(sentence)
>>> tagged = nltk.pos_tag(tokenized)
>>> list(filter(lambda x: x[1] == 'NNS', tagged))
[('heads', 'NNS'), ('bodies', 'NNS')]