shlomib

5 ms·

1.
High.lighting helps you read faster(chrome.google.com)
1 points by shlomib 11y ago|0 comments
2.
Maze Solving Algorithm – Practicing Backtracking (2013)(thetokenizer.com)
1 points by shlomib 12y ago|0 comments
3.
Python Naive Language Detector(thetokenizer.com)
3 points by shlomib 12y ago|0 comments
4.
by shlomib 12y ago
'Complete' ( https://complete.li/ ) took about a week and got some press coverage (wired.co.uk, dailymail.co.uk and more..)
5.
Show HN: A Chrome extension we built to help you write emails much faster(complete.li)
4 points by shlomib 12y ago|0 comments
6.
by shlomib 13y ago
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)) an
7.
by shlomib 13y ago
Obviously this is NOT the algorithm we use in our product (Swayy)...
8.
by shlomib 13y ago
Agree. Maybe some TF-IDF solution.
9.
by shlomib 13y ago
So just filter the hashtags from the output and put them at the end of the original title :P
10.
by shlomib 13y ago
Good idea! Actually I'm thinking about creating some open source “social-NLP” python package. What do you think?
11.
by shlomib 13y ago
https://twitter.com/search?q=%23Content
12.
by shlomib 13y ago
something similar to - http://hashtagify.me
13.
An algorithm for generating automatic hashtags(blog.swayy.co)
46 points by shlomib 13y ago|33 comments
14.
How To Easily Recognize People’s Names In A Text(thetokenizer.com)
4 points by shlomib 13y ago|0 comments
15.
Please stop misusing the word “Luck”(liordegani.me)
3 points by shlomib 13y ago|3 comments
16.
Show HN: We built an easy way to create online guides and tutorials(stps.co)
83 points by shlomib 13y ago|41 comments
17.
An Efficient Way to Extract the Main Topics from a Sentence(thetokenizer.com)
232 points by shlomib 13y ago|76 comments
18.
by shlomib 13y ago
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)
19.
by shlomib 13y ago
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.
20.
by shlomib 13y ago
Yes, You're right! I wrote "how many common tokens we have", maybe be it should be "how many tokens we have in common"...
21.
Build your own summary tool(thetokenizer.com)
131 points by shlomib 13y ago|22 comments