We're working hard on integrating the "metatpainter" concept into the storycapture process, as the "tag manager" function.  Better tag management is (in our humble opinion) critical to mining social media for persistent content and value.

As the trickle of substantive and useful conversation on social media swells to a flood, people are struggling to capture the content of the conversation and make it useful in a persistent way.  RIght now that's mainly being done in a manual, cut-and-paste, ad hoc way.  (For example, collecting transcripts after a Twitter conference.) Machine logic is being applied, of course ... more and more complex search techniques and algorithms.  But machine logic can only take us so far towards meaning in human terms.  

What we need is better ways to apply editorial processes (human logic) to the stream.  That means better interfaces for inspection, selection, and modification.  Metapainter is a step in that direction.  It's an interface concept that allows you to create a "palette" of tags and "paint" them onto groups of content objects.  Browsing, logical search, and visual inspection are part of the interface.

Integrating metapainter into the storycapture process allows users a much more powerful set of tools for browsing, searching, and selecting content from the various streams (posts, tweets, feeds) in order to aggregate and shape them into new and compelling narratives.