I've been working on learning how to capture an analyze Twitter data recently
so this is timely.
I highly recommend the book "Mining the Social Web" by Matthew Russell, as long
as you're comfortable with Python (or programming in general, since the
examples are enough to get started even if you have to learn Python in the
process). You can find it on O'Reilly
(http://shop.oreilly.com/product/0636920010203.do) or Amazon
(http://www.amazon.com/gp/product/1449388345?tag=oreonbl-20). I'm going
through it now.
Another potential source for tweets is Infochimps
(http://www.infochimps.com/). They've got a good bit of readily available data
from Twitter, although I'm not sure if they have actual tweets available for
free. Some data they do charge for access to.
Aaron, if you're interested, I can put you in touch with one of my professors
who has a company that does a whole lot of analysis of Tweets (although they're
located in the Washington, DC area).
Brent
________________________________
From: glen e. p. ropella <g...@tempusdictum.com>
To: The Friday Morning Applied Complexity Coffee Group <friam@redfish.com>
Sent: Wednesday, October 19, 2011 7:21 PM
Subject: Re: [FRIAM] Capturing Tweets
Aaron Perls wrote circa 11-10-19 03:24 PM:
> I was wondering if anyone on here has, or is familiar with, capturing
> large numbers of twitter tweets and how one would go about doing it.
> I need about 30k tweets, 10k from three different regions. It looks
> like there should be relatively simple way to do this. I've been
> making my way though this:
> https://dev.twitter.com/docs/streaming-api/methods#count but haven't
> found what I'm looking for.
>
> What we're hoping to do is a type of sentiment analysis, and look at
> how that compares to some polling data taken from these regions (I
> have a feeling what we'll find, but the project itself is
> interesting).
>
> Any insight is appreciated, or if anyone might have an interest in
> collaboration on the project.
This code may help:
https://code.google.com/p/tircd/
I can imagine setting up 3 different personalities, following a sample
of people from a given region for each personality, then logging them
either directly from perl or with a plugin to your irc client.
Selecting who to follow for each region would be manual and difficult, I
think. But these might be helpful:
https://dev.twitter.com/docs/places/finding-tweets-about-places
https://dev.twitter.com/docs/api/1/get/geo/reverse_geocode
--
glen e. p. ropella, 971-222-9095, http://tempusdictum.com
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