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Wordtip 0.1

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Hi,

 

I'm happy to announce project Wordtip and its' first release.

 

Wordtip aims to provide text classification services to desktop

and mobile applications over D-Bus.

 

It's in very alpha stage and although in a simplistic way, it's

working. You can test and use the current implementation of

a Bayesian classifier with only a few lines of Python, as

explained in README.

 

Download the source tarball at:

 

http://wordtip.googlecode.com/files/wordtip-0.1.tar.gz

md5sum: 0ccd965267abba7f67d099ddbb443e49

 

Possible uses cases:

 

- document management system can use it to automatically classify

textual documents into categories

- note-taking application grouping notes instead of the user

- RSS reader suggesting interesting blog posts

- cliche' poetry detection

 

Everything will change though, and this release is mostly

a signal of project's existence and so to other developers who

might be interested in contributing or using it.

 

To build it you'll need boost, boost-test, glibmm, dbus-c++,

and also gnome-common for some autotools helpers.

 

Project home is at http://code.google.com/p/wordtip

 

Marko

_______________________________________________

 

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