如何拆分列名并使用wordnet查找字典含义？

Question

我有以下数据，我正在尝试获取字典定义，但只有当它是单个单词时才有效。我怎样才能让它适用于多个单词？

代码：

from nltk.stem import WordNetLemmatizer
from nltk.corpus import wordnet

columns = ['Sector',
 'Community Name',
 'Date',
 'Community Center Point']

tmp = []

for x in columns:
    syns = (wordnet.synsets(x))
    tmp.append(syns[0].definition() if len(syns) > 0 else '')

输出：

pd.DataFrame(tmp).T

                        0    1                               2      3
a plane figure bounded by       the specified day of the month

第 1 列和第 3 列为空，因为 'Community Name' 和 'Community Center Point' 包含多个单词。

期望的输出：

                          0                                             1                                         2                                                                   3
Sector: [a plane figure...]   Community: [definition], Name: [definition]    Date: [the specified day of the month]  Community: [definition], Center: [definition], Point: [definition]

Answer 1

from nltk.corpus import wordnet

columns = ['Sector', 'Community Name', 'Date', 'Community Center Point']

col_defs = []
for item in columns:
    tmp = []
    for word in item.split():
        syns = (wordnet.synsets(word))
        tmp.append(word+': '+syns[0].definition() if len(syns) > 0 else None)
    col_defs.append(', '.join(tmp))

for x in col_defs:
    print(x)

输出：

Sector: a plane figure bounded by two radii and the included arc of a circle
Community: a group of people living in a particular local area, Name: a language unit by which a person or thing is known
Date: the specified day of the month
Community: a group of people living in a particular local area, Center: an area that is approximately central within some larger region, Point: a geometric element that has position but no extension

如何拆分列名并使用wordnet查找字典含义？

How to split up column name and find dictionary meaning with wordnet?

python

nltk