Robin, I was thinking of how to build a demo that'd work as follows. The demo isn't for any particular purpose other than the end result could be somewhat useful to people who sell things. The frictionless social selling model is outlined in a random blog post: http://jasonrutherglen.wordpress.com/category/socialselling/ which is my own rant about EBay being too expensive, and CL requiring too much redundant work.
1) Use categories from Craigslist 2) Get all #forsale Tweets via the Twitter streaming API 3) Manually build the classification models (this is where tools will aka a workbench will help) 4) Classify, see if the Tweets actually go the correct categories (probably repeat 3 several times) 5) If 4 works, then dump these into Solr for a demo web thing that somewhat resembles Craigslist Not sure if a Tweet could fall under multiple categories. We'd want to allow multiple classification systems, I'm thinking here of the Stanford log-linear classifier, among others. If this worked I'd personally want to start using it to because CL is too painful. Jason On Thu, Jan 21, 2010 at 2:29 AM, Robin Anil <[email protected]> wrote: > What are you trying to classify? Some options are: > > Topics? Label? Sentiments? Type(Humour, boredom, self expression, ad, spam.. > to name a few) Location(town, city, state, country)? >
