解析推文以将主题标签提取到数组中 [英] Parsing a tweet to extract hashtags into an array

问题描述

我花了很长时间在一条包含主题标签的推文中获取信息，然后使用Python将每个主题标签提取到一个数组中.我什至不敢透露我到目前为止一直在尝试的事情.

I am having a heck of a time taking the information in a tweet including hashtags, and pulling each hashtag into an array using Python. I am embarrassed to even put what I have been trying thus far.

例如，我喜欢#stackoverflow，因为#people非常#helpful！"

For example, "I love #stackoverflow because #people are very #helpful!"

这应该将3个主题标签拉入数组.

This should pull the 3 hashtags into an array.

推荐答案

一个简单的正则表达式就可以完成这项工作:

A simple regex should do the job:

>>> import re
>>> s = "I love #stackoverflow because #people are very #helpful!"
>>> re.findall(r"#(\w+)", s)
['stackoverflow', 'people', 'helpful']

不过请注意，正如其他答案中所建议的那样，这也可能会找到非标签，例如URL中的哈希位置:

Note though, that as suggested in other answers, this may also find non-hashtags, such as a hash location in a URL:

>>> re.findall(r"#(\w+)", "http://example.org/#comments")
['comments']

因此，另一个简单的解决方案是以下操作(将重复项作为奖励删除):

So another simple solution would be the following (removes duplicates as a bonus):

>>> def extract_hash_tags(s):
...    return set(part[1:] for part in s.split() if part.startswith('#'))
...
>>> extract_hash_tags("#test http://example.org/#comments #test")
set(['test'])

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