datumbox

The Machine Learning Antispam Plugin uses Machine Learning to detect spam and adult content comments and mark them as spam. Additionally it allows you to filter negative comments and keep them pending for approval.
It uses the Datumbox API 1.0v and is compatible with WordPress 3.6v or higher.
To read more about how it works, how it should be configured etc check out the original blog post: 
http://blog.datumbox.com/how-to-build-an-intelligent-antispam-wordpress-plugin/
<h3>Useful Links</h3>
Datumbox Website: http://www.datumbox.com/
Download API Documentation and Code Samples: http://www.datumbox.com/machine-learning-api/
Sign-up for free API Key: http://www.datumbox.com/users/register/
View your API Key: http://www.datumbox.com/apikeys/view/

Machine Learning Antispam

The Machine Learning Antispam Plugin uses Machine Learning to detect spam and adult content comments and mark them as spam.

rcragun

WP-QDA Marked Text is a plugin for WordPress designed for rudimentary Qualitative Data Analysis (QDA). While there are a number of highly developed programs available for Qualitative Data Analysis (e.g., see here), much of that software is problematic for end users for one of several reasons:
*QDA software is often very expensive (ranging from $100s to $1000s) *QDA software can be difficult to use and may have many features the average user does not need *QDA software is often platform dependent, meaning it either runs on Windows or Mac, but rarely on Linux
WP-QDA aims to address all three of these problems. First, it’s free (though it does require a web server). Second, it is very rudimentary – you can code text into nodes/categories and retrieve the text coded into those categories. That’s it. Third, it runs on a web server, which means it is compatible with any platform that has a web browser. If you’re looking for free software that is platform independent and simple to use for your QDA needs, WP-QDA Marked Text may be what you’re looking for.

WP-QDA Marked Text

WP-QDA Marked Text is a plugin for Wordpress designed for rudimentary Qualitative Data Analysis (QDA).

Machine Learning Antispam vs WP-QDA Marked Text