Re: Twitter

On Sun, Sep 16, 2012 at 11:44 AM, Chris Babcock <[email protected]> wrote:
> I'm writing a bot to find people to follow on Twitter who post
> relevant material on a given topic. I need to be able to avoid
> spammers, follow bots and Beliebers. What's the best classifier to use
> on short text like a tweet or a Twitter bio? I'm trying to make this
> bot behave more like a human, discovering content by crawling the
> social graph rather than just following a fixed set of hash tags.
>
> Chris
> --
> "Nothing says, 'I love you,' like 200 feet of parachute cord and a cargo net."
>    - Fred, Scooby-Doo! Mystery Incorporated

I tried correlate on the bios only. It was predictably a failure. Then
I found that I could request an arbitrary number of tweets with the
bio. The default of 30 tweets trained the correlator almost
satisfactorily, but I decided to try hyperspace.

I'm getting reasonable results with the hyperspace classifier using
TOE, but I'm wondering how it would do with SSTTT. Are there any good
training examples that someone could put up on Pastebin? I tried
Google, but all I got was mailing list articles. The one post
containing code was too complex to serve as a general example.

Here's my TOE code:

http://pastebin.com/jCDshUn5

I'm probably just one loop away from SSTTT...

Chris Babcock
--

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