Parsing a tweet to extract hashtags into an array

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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.

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

This should pull the 3 hashtags into an array.


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']

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']

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'])

Parsing a tweet to extract hashtags into an array in Python, 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  Parsing a tweet to extract hashtags into an array in Python I have time spending information on Twitter, including hashtags, and pulling each hashtag into an array using Python. I am embarrassed to even put what I have tried so far.


>>> s="I love #stackoverflow because #people are very #helpful!"
>>> [i  for i in s.split() if i.startswith("#") ]
['#stackoverflow', '#people', '#helpful!']

A Python script to download all the tweets of a hashtag into a csv , Hi, I want to extract the hashtags from the tweets and store it into a file. is it possible? Hi, i want to save the tweets that i obtain into an array, is it possible?! thanks 108 data = self.method(max_id=self.max_id, parser=RawParser(), *self.​args,  The second option uses a separate array of elements returned by the Twitter API in conjunction with the message text to give you the actionable items (links, hashtags, mentions, media) and the


AndiDogs answer will screw up with links and other stuff, you may want to filter them out first. After that use this code:

UTF_CHARS = ur'a-z0-9_\u00c0-\u00d6\u00d8-\u00f6\u00f8-\u00ff'
TAG_EXP = ur'(^|[^0-9A-Z&/]+)(#|\uff03)([0-9A-Z_]*[A-Z_]+[%s]*)' % UTF_CHARS
TAG_REGEX = re.compile(TAG_EXP, re.UNICODE | re.IGNORECASE)

It may seem overkill but this has been converted from here http://github.com/mzsanford/twitter-text-java. It will handle like 99% of all hashtags in the same way that twitter handles them.

For more converted twitter regex check out this: http://github.com/BonsaiDen/Atarashii/blob/master/atarashii/usr/share/pyshared/atarashii/formatter.py

EDIT: Check out: http://github.com/BonsaiDen/AtarashiiFormat

Extracting Twitter Data, Pre-Processing and Sentiment Analysis , Hereby in this article, I'll guide you through the steps I did to extract three set of Twitter data uniquely separated by three set of keywords + hashtags. this array of string name new_entry=[] to store all the JSON parsed data on  Hi, As i am working on Twitter integration in my current project, i needed to display the searched tweets from twitter API, on my view layer. When we query the Twitter API, it returns tweets text in the form of simple string which contains HashTags, Twitter usernames and links to external resources. While displaying them on the UI layer, i wanted to have the proper links for every element like


Suppose that you have to retrieve your #Hashtags from a sentence full of punctuation symbols. Let's say that #stackoverflow #people and #helpfulare terminated with different symbols, you want to retrieve them from text but you may want to avoid repetitions:

>>> text = "I love #stackoverflow, because #people... are very #helpful! Are they really #helpful??? Yes #people in #stackoverflow are really really #helpful!!!"

if you try with set([i for i in text.split() if i.startswith("#")]) alone, you will get:

>>> set(['#helpful???',
 '#people',
 '#stackoverflow,',
 '#stackoverflow',
 '#helpful!!!',
 '#helpful!',
 '#people...'])

which in my mind is redundant. Better solution using RE with module re:

>>> import re
>>> set([re.sub(r"(\W+)$", "", j) for j in set([i for i in text.split() if i.startswith("#")])])
>>> set(['#people', '#helpful', '#stackoverflow'])

Now it's ok for me.

EDIT: UNICODE #Hashtags

Add the re.UNICODE flag if you want to delete punctuations, but still preserving letters with accents, apostrophes and other unicode-encoded stuff which may be important if the #Hashtags may be expected not to be only in english... maybe this is only an italian guy nightmare, maybe not! ;-)

For example:

>>> text = u"I love #stackoverflòw, because #peoplè... are very #helpfùl! Are they really #helpfùl??? Yes #peoplè in #stackoverflòw are really really #helpfùl!!!"

will be unicode-encoded as:

>>> u'I love #stackoverfl\xf2w, because #peopl\xe8... are very #helpf\xf9l! Are they really #helpf\xf9l??? Yes #peopl\xe8 in #stackoverfl\xf2w are really really #helpf\xf9l!!!'

and you can retrieve your (correctly encoded) #Hashtags in this way:

>>> set([re.sub(r"(\W+)$", "", j, flags = re.UNICODE) for j in set([i for i in text.split() if i.startswith("#")])])
>>> set([u'#stackoverfl\xf2w', u'#peopl\xe8', u'#helpf\xf9l'])

EDITx2: UNICODE #Hashtags and control for # repetitions

If you want to control for multiple repetitions of the # symbol, as in (forgive me if the text example has become almost unreadable):

>>> text = u"I love ###stackoverflòw, because ##################peoplè... are very ####helpfùl! Are they really ##helpfùl??? Yes ###peoplè in ######stackoverflòw are really really ######helpfùl!!!"
>>> u'I love ###stackoverfl\xf2w, because ##################peopl\xe8... are very ####helpf\xf9l! Are they really ##helpf\xf9l??? Yes ###peopl\xe8 in ######stackoverfl\xf2w are really really ######helpf\xf9l!!!'

then you should substitute these multiple occurrences with a unique #. A possible solution is to introduce another nested implicit set() definition with the sub() function replacing occurrences of more-than-1 # with a single #:

>>> set([re.sub(r"#+", "#", k) for k in set([re.sub(r"(\W+)$", "", j, flags = re.UNICODE) for j in set([i for i in text.split() if i.startswith("#")])])])
>>> set([u'#stackoverfl\xf2w', u'#peopl\xe8', u'#helpf\xf9l']) 

Learn About Regular Expressions in Python With Data From How , In this guide, you will learn how to use regular expressions to extract hashtags from An Example in Python: Hashtags in ISIS-Related Tweets “r” tells Python not to parse the string but to pass it in as it is (the so-called raw string). an array​) whose indices are the unique hashtags and whose values are the number of  Parse Twitter Hashtags with JavaScript. Twitter allows user’s to create hashtags in their tweets. Hashtags are a community-driven convention for adding additional context and metadata to your tweets. Like regular URLs and usernames, hashtags can been parsed as a URL, in this case, Twitter’s search. The regular expression in this case finds all instances of #hashtag. The Twitter Search URL is then applied to the hashtag.


The best Twitter hashtag regular expression:

import re
text = "#promovolt #1st # promovolt #123"
re.findall(r'\B#\w*[a-zA-Z]+\w*', text)

>>> ['#promovolt', '#1st']

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