如何只保留单词表中的名词词？ python NLTK

Question

我有一个单词表，里面有很多科目。主题是从句子中自动提取的。我只想保留主题中的名词。如您所见，有些主题有 adj，我想将其删除。

wordlist=['country','all','middle','various drinks','few people','its reputation','German Embassy','many elections']
returnlist=[]
for word in wordlist:
    x=wn.synsets(word)
    for syn in x:
        if syn.pos() == 'n':
            returnlist.append(word)
            break
print returnlist

以上结果为：

['country','it',  'middle']

但是，我想要得到的结果应该是这样的

   wordlist=['country','it', 'middle','drinks','people','reputation','German Embassy','elections']

怎么做？

Answer 1

adjectives = ['many', 'any', 'few', 'some', 'various'] # ...
wordlist = ['country','all','middle','various drinks','few people','its reputation','German Embassy','many elections']
returnlist = []
for word in wordlist:
    for adj in adjectives:
        word = word.lower().replace(adj, '').strip()
    returnlist.append(word)
print(returnlist)

Answer 2

首先，您的列表是未正确标记化文本的结果，因此我再次对其进行了标记化然后搜索所有单词的 pos 以查找 pos 包含 NN 的名词：

>>> text=' '.join(wordlist).lower()
>>> tokens = nltk.word_tokenize(text)
>>> tags = nltk.pos_tag(tokens)
>>> nouns = [word for word,pos in tags if (pos == 'NN' or pos == 'NNP' or pos == 'NNS' or pos == 'NNPS')
]
>>> nouns
['country', 'drinks', 'people', 'Embassy', 'elections']

如何只保留单词表中的名词词？ python NLTK

How to keep only the noun words in a wordlist? python NLTK

python

nltk

text-processing

wordnet

pos-tagger