shlomib

'Complete' (https://complete.li/) took about a week and got some press coverage (wired.co.uk, dailymail.co.uk and more..)

One thing, If you take a look at line 53 in my original code: https://gist.github.com/shlomibabluki/5473521#file-summary_t...

You can change the code to run only -> for j in range(0, i)

* (instead of range(0, n))

and then store the same score both in values[i][j] and values[j[i]

Obviously this is NOT the algorithm we use in our product (Swayy)...

Agree. Maybe some TF-IDF solution.

So just filter the hashtags from the output and put them at the end of the original title :P

Good idea! Actually I'm thinking about creating some open source “social-NLP” python package. What do you think?

something similar to - http://hashtagify.me

As I wrote in the post, I use Goose (https://github.com/xgdlm/python-goose) in my product. Goose also returns the URL of the main image! (sometimes it even includes its dimensions)

I totally agree! There is a huge gap between my naive algorithm and a real working one. The idea of this post was just to introduce the “automatic summarization world” to those who aren't familiar with it at all.

Yes, You're right! I wrote "how many common tokens we have", maybe be it should be "how many tokens we have in common"...