[4eyes] Twitter analysis

[John O'Donovan]

Hi Pradeep,
This is interesting, thanks for posting!  We are working on several
different analysis tools for Twitter.   I was playing around with a new
javascript framework (d3js) yesterday with something similar in mind:

http://cs.ucsb.edu/~jod/trustmonitor/

The idea is to find credible information on Twitter for a given query
across network, location and community-clusters.  The tool is obviously not
finished (just a static data back-end for now, showing population data),
but I think it will be cool when we hook it to the Twitter Api properly.
 (Suggestions and feedback appreciated of course!)

James and I have also been working on a tool for sentiment/credibility
analysis ("Fluo") across Twitter and other sources:
http://vimeo.com/58649059

cheers,
-John


On 20 February 2013 12:49, Pradeep Sen <psen at ece.ucsb.edu> wrote:

> Some of you may have seen this:
>
> http://www.cnn.com/2013/02/19/**tech/social-media/twitter-**
> happiness/index.html?hpt=hp_c3<http://www.cnn.com/2013/02/19/tech/social-media/twitter-happiness/index.html?hpt=hp_c3>
>
> I find it curious that this is almost an exact flip of the
> blue-state-red-state political map...
>
> I wonder what other kinds of analysis one could do?
>
> -Pradeep
>
>
>
> --
> Pradeep Sen
> Associate Professor
> UCSB Advanced Graphics Lab
> Dept. of Electrical & Computer Engineering
> University of California, Santa Barbara
> Santa Barbara, CA 93106-9560
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> Ilab-users mailing list
> Ilab-users at lists.cs.ucsb.edu
> https://lists.cs.ucsb.edu/**mailman/listinfo/ilab-users<https://lists.cs.ucsb.edu/mailman/listinfo/ilab-users>
>



-- 
John O'Donovan
Research Scientist
Department of Computer Science
University of California, Santa Barbara, CA 93106-5110

email: jod at cs.ucsb.edu
phone: (805)451-9342
web: http://cs.ucsb.edu/~jod
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