The Sweeper User Guide

Sweeper has been around for just over a year now and although the code is still changing quite rapidly. However, the core platform is now stable enough that we’re releasing this User’s Guide. It’s certainly long overdue. Sweeper is the a free and opensource multimedia curation platform that we’ve been developing over the past few months. It’s a quick and easy way to create a social media monitoring dashboard. You can find the User Manual embedded below or at http://swiftly.org/userguide

So what are some of the things one can perform with the Sweeper application?

  • Combine many feeds into one: then curate, filter and translate
  • Count and archive Twitter mentions
  • Mashup content from Email, Twitter, Blogs, Flickr, News sites, RSS/ATOM etc.
  • Automate the addition of context to data: Location, priority, influence, reputation, tags etc.
  • Structure unstructured data
  • Buffering against an excess of crowdsourced data
  • Set-up pipes of conditional logic for automating data processes
  • Collect and manage realtime data from SMS while completely offline
  • Translate real-time content from social media on the fly
  • Datamine real-time content aggregated by you or your team
  • Keyword monitoring from Twitter, Posterous, Blogger, Google News and Wordpress
  • Native integration with Ushahidi and Crowdmap

Sweeper can be downloaded today from Swiftly.org.

Sweeper User Guide v0.3 View more documents from Ushahidi

SwiftRiver Dataflow Infographic

I’m often asked about the architecture of the SwiftRiver platform. There’s been so much written about, talked about and presented to date that I thought I’d take a different approach.  So rather than bore you with another long blog post, I thought I’d share some visuals that explain the system.

PDF | Video | High-Res Image


If the images above are too small, try downloading the PDF version, High-res image or watch the video below.

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