如何使用 NLTK 同义词集在字符串列表中查找同义词？

Question

我有一个字符串列表：

words1 =  ['feds', 'move', 'to', 'require', 'cartocar', 'safety', 'communication']

我想使用 NLTK wordnet 同义词集为每个单词找到一个同义词集。首先，我在列表中使用了一个字符串。这是我的代码：

from nltk.corpus import wordnet as wn

word = ['feds']

data1 = ' '.join(word)

def getSynonyms(data1):
    synonymList1 = []
    wordnetSynset1 = wn.synsets(data1)

    for synset1 in wordnetSynset1:
        for synWords1 in synset1.lemma_names():
            synonymList1.append(synWords1)
    print synonymList1

print "list of synonyms : ", getSynonyms(data1)

并且有效。这是结果：

list of synonyms :  [u'Federal', u'Fed', u'federal_official', u'Federal_Reserve_System', u'Federal_Reserve', u'Fed', u'FRS']

但是当我使用字符串列表 "words1" 时，它不起作用并且输出是 none 像这样 >> [].

有人可以帮忙吗？谢谢

Answer 1

你需要单独传递单词，而不是在加入它们之后。

from nltk.corpus import wordnet as wn


def getSynonyms(word1):
        synonymList1 = []
        for data1 in word1:
              wordnetSynset1 = wn.synsets(data1)
              tempList1=[]
              for synset1 in wordnetSynset1:
                 for synWords1 in synset1.lemma_names():
                     tempList1.append(synWords1)
              synonymList1.append(tempList1)
        return synonymList1


word1 =  ['feds', 'move', 'to', 'require', 'cartocar', 'safety', 'communication']
print getSynonyms(word1)

如何使用 NLTK 同义词集在字符串列表中查找同义词？

How to find a synonyms in a list of strings using NLTK synsets?

string

list

nltk

wordnet

synonym