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Twitter text processing library (auto linking and extraction of usernames, lists and hashtags). Based on the Ruby and Java implementations by Matt Sanford

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Twitter Text (PHP Edition)

A library of PHP classes that provide auto-linking and extraction of usernames, lists, hashtags and URLs from tweets. Originally created from twitter-text-rb and twitter-text-java projects by Matt Sanford and ported to PHP by Mike Cochrane, this library has been improved and made more complete by Nick Pope.

Features

Autolink

  • Add links to all matching Twitter usernames (no account verification).
  • Add links to all user lists (of the form @username/list-name).
  • Add links to all valid hashtags.
  • Add links to all URLs.
  • Support for international character sets.

Extractor

  • Extract mentioned Twitter usernames (from anywhere in the tweet).
  • Extract replied to Twitter usernames (from start of the tweet).
  • Extract all user lists (of the form @username/list-name).
  • Extract all valid hashtags.
  • Extract all URLs.
  • Support for international character sets.

Hit Highlighter

  • Highlight text specifed by a range by surrounding with a tag.
  • Support for highlighting when tweet has already been autolinked.
  • Support for international character sets.

Examples

For examples, please see tests/example.php which you can view in a browser or run from the command line.

Conformance

You'll need the test data which is in YAML format from the following repository:

http://github.com/mzsanford/twitter-text-conformance

It has already been added as a git submodule so you should just need to run:

git submodule init
git submodule update

As PHP has no native support for YAML you'll need to checkout spyc from svn into tests/spyc:

svn checkout http://spyc.googlecode.com/svn/trunk/ tests/spyc

There are a couple of options for testing conformance:

  1. Run phpunit in from the root folder of the project.
  2. Run tests/runtests.php from the command line.
  3. Make tests/runtests.php accessible on a web server and view it in your browser.

Thanks & Contributions

The bulk of this library is from the heroic efforts of:

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Twitter text processing library (auto linking and extraction of usernames, lists and hashtags). Based on the Ruby and Java implementations by Matt Sanford

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