You have solved an important issue with Twitter - grouping different kinds of people so readers can separate them and read only the kind of tweets they are inte

You have solved an important issue with Twitter - grouping different kinds of people so readers can separate them and read only the kind of tweets they are interested in at that time. There is a higher level problem - reading only certain kinds of tweets from certain groups of people. For e.g. I am interested only in tweets about Ruby from the Ruby people. Put this way, the solution is to simply filter on words related to ruby. But this is not powerful enough for the user to be able to say I am interested in any tweets about technology from the Ruby people. Now your dictionary will run into hundreds/thousands of words per group. We are building a solution to this problem. In fact we don't have any twitter api code yet since we are focusing on the core logic first. This would be really useful to us. Edit: plus we use django as well! Re-edit: Your ranking algorithm for tweets is pretty cool. You asked why we should get the project. Here are the specific reasons: 1) We are building something useful that adds to your solution, something that (we believe) people want. 2) I have a strong background in text analysis and classification - it has been my bread and butter for almost 4 years now. (I'd be happy to go into specifics over email) My partner is a talented programmer, also from GaTech with a background in AI (among other things). 3) We use the same framework (python/django) so integration should be easy 4) Our weak point is a UI - our current UI is pure HTML, only functional not pretty, although we have a very good idea of how we want it to look. You have a better UI for twitter (which we will improve upon)