First of all, all content that comes into faveeo.com (15k articles per day at the moment) is automatically tagged by using the Open Calais web service, (www.opencalais.com) that itself is directly connected to the semantic web. This means that all the incoming content is properly organized and tagged for several topics including People, Organizations, Countries, Music Bands, Sports teams, etc.

This really advanced categorization not only helps users find information related to their tastes and interests but also allows us to provide high quality recommendations based on the tags applied to the nodes you read, click on and of course, vote on.

The twopular engine feeds the web service Calais every five minutes with the most recent tweets behind the current twitter trends in order to determine tags for these trends. This so generated tag meta level for twitter trends gives us first of all another way of searching for trends and more important the possibility to interrelate trends based on tag similarity. More of a linguistic experiment right now yet the first results seem to be promising.

 Twopular feeds Calais every five minutes with the most recent tweets behind the current twitter trends in order to determine tags for these trends.
This project is still in an early phase 

• twopular.com/tag/
• twopular.com/labs/sparklinesTags
• twopular.com/labs/heatmapTags

Feedtrace is a filtering engine for real-time content. It works over Twitter content and ranks web pages by popularity. Users can filter by the social graph, domain name, language, and category. OpenCalais provides the content categorization and Social Tagging.