This might be of interest to the Clojure/Datomic community: http://sunlightfoundation.com/blog/2014/09/16/wrangling-messy-political-data-into-usable-information/ https://github.com/sunlightlabs/echelon
I'm part of the Influence Explorer team at the Sunlight Foundation. We're building a system with Datomic and Instaparse to disentangle and analyze the web of relationships between lobbyists, special interest groups, and legislators. It's been surprisingly successful so far, as in it works as well as we hoped it would when we first started building it. Datomic has been a pleasure to use and Instaparse has been excellent so far. The above link is a results oriented blog post about what we did and why we did it. We haven't written up the technical details yet as they are still evolving (we're attempting to move from the current static batch processing system to hopefully a streaming approach in the near future). But, if you have any questions about the project I'd be happy to answer them. -Zack -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en --- You received this message because you are subscribed to the Google Groups "Clojure" group. To unsubscribe from this group and stop receiving emails from it, send an email to clojure+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
