shanselman

{
{I have|I've} been {surfing|browsing} online more than {three|3|2|4} hours today, yet I never found any interesting article like yours. {It's|It
is} pretty worth enough for me. {In my opinion|Personally|In my view}, if all {webmasters|site owners|website owners|web owners} and bloggers made good content as
you did, the {internet|net|web} will be {much more|a lot more}
useful than ever before.|
I {couldn't|could not} {resist|refrain from} commenting. {Very well|Perfectly|Well|Exceptionally well} written!|
{I will|I'll} {right away|immediately} {take hold of|grab|clutch|grasp|seize|snatch}
your {rss|rss feed} as I {can not|can't} {in finding|find|to find} your {email|e-mail} subscription {link|hyperlink} or {newsletter|e-newsletter} service. Do {you have|you've} any?
{Please|Kindly} {allow|permit|let} me {realize|recognize|understand|recognise|know} {so that|in order that} I {may just|may|could} subscribe.
Thanks.|

mwunsch

/**
 *
 * Here's a thing that will look through all the text nodes of a document, and
 * upon encountering an emoji codepoint, will replace it with an image.
 * For now, those images are pulled from GitHub, which isn't very nice, so I
 * need to find a more suitable host.
 *
 * Much of this code was gleaned from staring at the minified GitHub JS.
 *
 * Copyright (c) 2013 Mark Wunsch. Licensed under the MIT License.

purem

Enter into wolfram alpha to draw

witch of Agnesi
ampersand curve
Archimedean spiral
Archimedes' spiral
astroid
astroid pedal curve
atriphtaloid
bean curve

mrmt

#!/usr/bin/perl
# following back my twitter followers
# get consumer keys and access token from http://dev.twitter.com/apps/new
use utf8;
use strict;
use warnings;
use Net::Twitter;
use YAML::Tiny;

sub usage{

ndfred

#!/bin/sh -e

# Download and install the Airport Utility 5.6.1 app on Mac OS X Lion and up

if [ ! -d "/Applications/Utilities/AirPort Utility 5.6.1.app" ]
then
  [ -d /Volumes/AirPortUtility ] && hdiutil detach /Volumes/AirPortUtility
  rm -rf /tmp/AirPortUtility5.6.1.dmg /tmp/AirPortUtility5.6.1

  echo "Downloading Airport Utility 5.6.1"

luismayta

<?php
/**
 * A controller plugin for protecting forms from CSRF
 * 
 * Works by looking at the response and adding a hidden element to every
 * form, which contains an automatically generated key that is checked
 * on the next request against a key stored in the session
 * 
 * @author Jani Hartikainen <firstname at codeutopia net>
 */

mattb

Here are the areas I've been researching, some things I've read and some open source packages...

Nearly all text processing starts by transforming text into vectors: http://en.wikipedia.org/wiki/Vector_space_model

Often it uses transforms such as TFIDF to normalise the data and control for outliers (words that are too frequent or too rare confuse the algorithms): http://en.wikipedia.org/wiki/Tf%E2%80%93idf

Collocations is a technique to detect when two or more words occur more commonly together than separately (e.g. "wishy-washy" in English) - I use this to group words into n-gram tokens because many NLP techniques consider each word as if it's independent of all the others in a document, ignoring order: http://matpalm.com/blog/2011/10/22/collocations_1/

bsdf

#!/usr/bin/env perl

use strict;
use warnings;

use WWW::Tumblr;

die 'u need to specify some filesz' if not @ARGV;

my $t = WWW::Tumblr->new(

bsdf

#!/usr/bin/env perl

use utf8;
binmode STDOUT, ":utf8";

while (<>) {
    tr/A-Za-z/𝕬𝕭𝕮𝕯𝕰𝕱𝕲𝕳𝕴𝕵𝕶𝕷𝕸𝕹𝕺𝕻𝕼𝕽𝕾𝕿𝖀𝖁𝖂𝖃𝖄𝖅𝖆𝖇𝖈𝖉𝖊𝖋𝖌𝖍𝖎𝖏𝖐𝖑𝖒𝖓𝖔𝖕𝖖𝖗𝖘𝖙𝖚𝖛𝖜𝖝𝖞𝖟/;
    print;
}

rubysolo

#!/usr/bin/env ruby

# giftube – Generates an animated gif from a YouTube url.
#
# Usage:
#
#   giftube [youtube url] [minute:second] [duration]
#
#   ex.
#