#Eww. I #hate it when #hashtags are used inline.
An algorithm for generating automatic hashtags
11–20 of 35 posts
Re: An algorithm for generating automatic hashtags
#12Although very basic, this is really nice - the wonders of NLTK! You explain your algorithm in very simple terms so kudos for that. It might be a good idea to put this in a GitHub repository rather than a simple gist maybe? I am sure there will be plenty of people (including myself) interested in contributing, it's much easier doing it on a repository rather than a gist :)
Good idea! Actually I'm thinking about creating some open source “social-NLP” python package. What do you think?
Re: An algorithm for generating automatic hashtags
#13#Eww. I #hate it when #hashtags are used inline.
So just filter the hashtags from the output and put them at the end of the original title :P
Re: An algorithm for generating automatic hashtags
#14A strange example. Does the author really think hashtagifying the word 'content' has improved the tweet in some way? Do they expect people to be searching Twitter for #content and getting some useful results?
Probably not, but he did disclaim that it was pretty naive and could be improved in many ways. I think it's a pretty darn good first pass. That particular issues comes about from tagging words that are common in the target text without reference to whether or not that's actually significant- i.e., whether it's common in the text just because it's a common word overall, rather than because it's actually an indication…
Agree. Maybe some TF-IDF solution.
Re: An algorithm for generating automatic hashtags
#15Build classification for these generated hash tags. Give a score and put this into a feedback loop to build better hashtags.
Re: An algorithm for generating automatic hashtags
#16I think we - and to some degree the Twitter platform itself - are using hash tags redundantly, and this algorithm is just a manifestation of this redundancy that is killing data quality. These pathological tweets do tend to look like the example sentence provided, maybe even more extreme:
#Swayy #Launches Into Public #Beta To Curate #Content For Your #SocialMedia Audience
A more reasonable approach would be to tag things that are not part of the sentence itself:
We're launching into public beta to curate content for social media! #Swayy
Dear gods, #IHateIt when it's cold outside
Re: An algorithm for generating automatic hashtags
#17A strange example. Does the author really think hashtagifying the word 'content' has improved the tweet in some way? Do they expect people to be searching Twitter for #content and getting some useful results?
https://twitter.com/search?q=%23Content
You can even get a #content t-shirt: http://bunnyaimee.tumblr.com/post/61678190440/we-opted-for-a...
Re: An algorithm for generating automatic hashtags
#18#hashtagsarelame :)
Re: An algorithm for generating automatic hashtags
#19#hashtagsarelame :)
#honestly_though_hacker_news_could_use_them_or_at_least_something_like_them #meta #hackernews
Re: An algorithm for generating automatic hashtags
#20The tech is nice, but adding hashtags like this does, in my opinion, more harm than good. Hashtagifying common words does rarely make sense, except in those few cases when there is a specific conversation going on about that word for any special reason.
Users ask us all the time to add an automatic hashtagging feature to hashtagify.me, but I'm resisting those requests because bad hashtagging makes hashtags less useful. It would be great to find an algorithm that (at least almost) always finds hashtags that are really relevant, but until that will happen it's better to ask users to make a little effort.
[edited for clarity]