[Air-L] suggestions for Twitter aggregating & analytic tools

[Moore, Tony A (US - Glen Mills)]

Erica,

I have listed a few options (not exhaustive) below depending on how customized you would want your algorithm to be. The options further down in the list will require higher level of effort but provide greater control and specificity on the output.

Clarabridge
Rapidminer
R (tm.plugin.sentiment)
Natural Language Toolkit (NLTK) with Python

larabridge is the only one that is a fully commercial product. The rest of the options are open source solutions that need to go hand-in-hand with some licensed packages. For example, NLTK is open source and free. However, you will also need access to a lexical resource like SentiWordNet (http://sentiwordnet.isti.cnr.it/) - this is free for non-profit purpose, may incur cost if we want to use it in a client setting.

There are free versions of R and RapidMiner that can be downloaded and used, though using this might need additional coding.

Regards,
Tony

Tony Moore
Strategy, Brand & Innovation | Deloitte Analytics
2 Braxton Way, Glen Mills, PA 19342, USA
Tel/Direct: +1 610 479 3124 | Fax: +1 610 479 4124 | Mobile: +1 215 218 8891
tomoore at deloitte.com  | www.deloitte.com







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-----Original Message-----
From: air-l-bounces at listserv.aoir.org [mailto:air-l-bounces at listserv.aoir.org] On Behalf Of Erica Ciszek
Sent: Friday, September 28, 2012 10:13 AM
To: air-l at listserv.aoir.org
Subject: [Air-L] suggestions for Twitter aggregating & analytic tools

Dear Colleagues,
I was wondering if anyone can suggest particular tools for aggregating and analyzing Twitter content.

What are the best tools for gathering tweets (by hashtags) and for analyzing activity (by these hastags)? Appreciate any suggestions.

Best,
Erica Ciszek
Doctoral Student
Graduate Teaching Fellow
School of Journalism and Communication
University of Oregon
eciszek at uoregon.edu

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