Actually, I can't believe I forgot to mention this. A couple of researchers,
Scott Golder and Michael Macy (a name that might be familiar to some folks
here) at Cornell, did some large-scale mining of tweets and looked at patterns
of word use throughout the day around the world. Here's the info about the
paper:
Scott A. Golder and Michael W. Macy. (2011) Diurnal and Seasonal Mood
Vary with Work, Sleep and Daylength Across Diverse Cultures. Science. 30 Sep
2011.
[ main text
http://www.sciencemag.org/cgi/rapidpdf/333/6051/1878?ijkey=FeSTyP0rXFpqA&keytype=ref&siteid=sci
(pdf) | supplementary materials
http://www.sciencemag.org/content/suppl/2011/09/28/333.6051.1878.DC1/Golder.SOM.pdf
(pdf) | extras http://redlog.net/timeuse/ (web) ]
Also, check out the site they put up allowing people to search for words and
then graph out when those words are most frequently used: http://timeu.se/
By they way, if anyone is more comfortable with R than with Python, here are
some links on how to use R for gathering Twitter data:
Using R to search Twitter for analysis
http://www.franklincenterhq.org/2429/using-r-to-search-twitter-for-analysis/
Text Data Mining with Twitter and R
http://heuristically.wordpress.com/2011/04/08/text-data-mining-twitter-r/
And Drew Conway has a bunch of good material on his blog about getting and
analyzing Twitter data with both Python and R:
http://www.drewconway.com/zia/
Brent
________________________________
From: ERIC P. CHARLES <e...@psu.edu>
To: Nicholas Thompson <nickthomp...@earthlink.net>
Cc: 'The Friday Morning Applied Complexity Coffee Group' <friam@redfish.com>
Sent: Thursday, October 20, 2011 8:00 PM
Subject: Re: [FRIAM] Capturing Tweets
Nick,
Did anyone ever try to answer your question? My guess is that
they are trying to do something fairly simple, like comparing the number of
people who tweet "Go Obama!" vs. the number who tweet "F*@% Obama!".
If
that is not what "sentiment analysis" meant, I would be very interested in
knowing as well. Also, I'd be interested to know if there is any attempt to
identify sarcastic "positive" tweets.
Eric
On Wed, Oct 19, 2011
06:50 PM, "Nicholas Thompson" <nickthomp...@earthlink.net> wrote:
So, the question is: Are the sentiments of birds that tweet a random sample of
the sentiments of birds that breath?
>
>I confess I do find interesting the question of how one extracts a sentiment
>from a tweet!
>
>N
>
>From:friam-boun...@redfish.com [mailto:friam-boun...@redfish.com] On Behalf Of
>Aaron Perls
>Sent: Wednesday, October 19, 2011 4:25 PM
>To: friam@redfish.com
>Subject: [FRIAM] Capturing Tweets
>
>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.
>
>Thanks
>
>Aaron Perls
>Galisteo Consulting Group, Inc.
>2403 San Mateo Blvd NE, Suite W-12
>Albuquerque, NM 87110
>505.917.6447 cell
>505.889.3927 voice
>505.889.3929 fax
>www.galisteoconsulting.com
>============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org Eric Charles
Professional Student and
Assistant Professor of Psychology
Penn State University
Altoona, PA 16601
============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org
============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org
