如何使用 wordnet.synsets() 获取列表中多个单词的定义

Question

我可以得到一个词的定义如下：

from nltk.stem import WordNetLemmatizer

from nltk.corpus import wordnet

wordnet.synsets('hello')[0].definition()

*an expression of greeting*

但是，如何使用单词列表获得相同的结果？

df =  ['Unnamed 0',

 'business id',

 'name',

 'postal code',

]

df2 = []

for x in df:

    df2.append(wordnet.synsets(x))

我可以对 df2 做些什么来让它显示列表中每个单词的第一个定义？

Answer 1

注意：并不是所有的词都能在 wordnet 中找到。from nltk.corpus import wordnetdf = ['Unnamed 0','business id','name','postal code']df = [x.strip().replace(' ', '_') for x in df]df2 = []for x in df:    syns = (wordnet.synsets(x))    df2.append(syns[0].definition() if len(syns)>0 else '')print(df2)输出：['', '', 'a language unit by which a person or thing is known', 'a code of letters and digits added to a postal address to aid in the sorting of mail']