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

John David Anderson created this impressive mashup using the New York Times newswire API and OpenCalais, and won our recent mashup contest.

At ThoughtGlade.com, you can explore recent New York Times articles by clicking on their headlines toload up some basic NYT-supplied metadata about the article, followed by OpenCalais tagging of the article. Click on a tag name to explore the linked data associated with the tag (e.g., maps and related links). Since some tags are ambiguous (e.g., the dozen or more cities named "Washington") you may be first presented with a list of disambiguation options. This takes a bit more time to load. Click on one of the red disambiguation options to see the details.