I would have to start by asking what it's for -- that would really dictate what "adds value" or not. If it's augmenting search indexes, IMO almost anything is useful as long as its even tangentially related. If you're trying to infer new metadata out of the tags, you'll probably want to build something you can "train", like a simple Bayesian filter? Or a bunch of humans. Anyway: no, no experience with that volume, but I bet you'll get more responses if you flesh out the question a bit! Nate
On Wed, May 15, 2013 at 6:22 PM, Perian <perian at emphatic.org> wrote: > Hi everyone: > > I'm working on a project where we'll be bringing Flickr tags in from about > 120,000 images. The users on this collection have been extremely active > since the collection was uploaded about 3 years ago. While it's great to > get all of that information into a central repository, I'm wondering how > those of you with other large crowdsourcing efforts have dealt with this > sudden influx of tags? Did you have a process for sorting them (subjects, > as opposed to descriptors, for example; or junk tags that didn't add > value)? And what other projects were you able to embark upon once you had > this new pile of information? > > Thanks, > > ~Perian > > /Perian Sully > Independent Consultant > http://www.emphatic.org > twitter: @p_sully/ > > _______________________________________________ > You are currently subscribed to mcn-l, the listserv of the Museum Computer > Network (http://www.mcn.edu) > > To post to this list, send messages to: mcn-l at mcn.edu > > To unsubscribe or change mcn-l delivery options visit: > http://mcn.edu/mailman/listinfo/mcn-l > > The MCN-L archives can be found at: > http://toronto.mediatrope.com/pipermail/mcn-l/ > > -- > Nate Solas > Sr. New Media Developer and Head Technologist > Walker Art Center > 1750 Hennepin Ave > MInneapolis, MN 55407 > http://www.walkerart.org/ > > <http://toronto.mediatrope.com/pipermail/mcn-l/> > >
