返回单词及其在字符串中出现的次数的字典
我有一大堆特定关键字，我想将其计入大字符串描述中。我想返回关键字及其在所述字符串中出现次数的字典，例如：
description = "Apples and oranges are the best fruit, I'm growing some trees outside. Apples are my favorite, oranges are cool too"
keywords = ['apples', 'oranges', 'fruit', 'trees']
我想计算这些关键字在字符串中找到的次数并返回如下内容：
{'apples': 2, 'oranges' 2, 'fruit': 1, 'trees': 1}
我不完全是确定如何解决这个问题，我尝试过使用 Counter，但只能弄清楚如何计算列表中的单词数。我也可以使用 NLTK 来实现此目的吗？我正在尝试想出一个可以扩展以容纳大量列表和描述的解决方案。任何正确方向的帮助将不胜感激。
I have a large list of specific keywords I would like to count in a large string description. I would like to return a dictionary of the keywords and their number of occurrences in said string, for example:
description = "Apples and oranges are the best fruit, I'm growing some trees outside. Apples are my favorite, oranges are cool too"
keywords = ['apples', 'oranges', 'fruit', 'trees']
I'd like to count the number of times these keywords are found in the string and return something like this:
{'apples': 2, 'oranges' 2, 'fruit': 1, 'trees': 1}
I'm not exactly sure how to go about this, I've tried using Counter but was only able to figure out how to count the number of words in a list. Could I also use NLTK for this? I'm trying to think of a solution I could scale up for huge lists and descriptions. Any help in the right direction would be greatly appreciated.
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使用
str.count()尝试这种清晰简洁的字典理解：Try this clear and concise dictionary comprehension using
str.count():