[CITASA] Text mining Fcaebook data

Dhiraj Murthy d.murthy at gold.ac.uk
Wed May 6 04:19:00 EDT 2015


Paul: Thanks for the mention

Alladi: feel free to get in touch via email and we can talk about some of the methods I have used in my Big Data work as well as in my mixed methods projects. I would be happy to hear about your project and give you my advice.

Also, I will be giving a tutorial at Social Media & Society in the summer on basic approaches to social media data collection and analysis and will briefly be covering Facebook data (https://socialmediaandsociety.com/workshops/2015-workshop-2-working-with-nodexl/).

Thanks!

Best wishes,
Dhiraj

Reader of Sociology
Goldsmiths, University of London

My book, Twitter, can be ordered in the US at: http://amzn.to/VNrgNn and in the UK/Europe at: http://bitly.com/S3emIq

my site:
http://www.dhirajmurthy.com<http://www.dhirajmurthy.com/>

Date: Mon, 4 May 2015 22:29:39 +0000
From: <plopes at colgate.edu<mailto:plopes at colgate.edu>>
To: Alladi Venkatesh <avenkate at uci.edu<mailto:avenkate at uci.edu>>,
   "=?utf-8?Q?citasa at list.citasa.org<mailto:citasa at list.citasa.org>?=" <citasa at list.citasa.org<mailto:citasa at list.citasa.org>>
Subject: Re: [CITASA] Text mining Fcaebook data
Message-ID: <5547f39d.c811370a.68e4.7803 at mx.google.com<mailto:5547f39d.c811370a.68e4.7803 at mx.google.com>>
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Alladi,


I believe Dhiraj Murthy at Goldsmith University might be able to help. He does Big Data on Twitter and social media.






Paul Lopes
Associate Professor of Sociology
Department of Sociology and Anthropology
Colgate University





From: Alladi Venkatesh
Sent: ?Monday?, ?May? ?4?, ?2015 ?4?:?47? ?PM
To: citasa at list.citasa.org<mailto:citasa at list.citasa.org>






Can anybody shed light and provide any source(s) on Text mining Facebook data? Emphasis: Facebook



Thank you.



Alladi Venkatesh

Professor

The Paul Merage School of Business

University of California

Irvine CA 92697

avenkate at uci.edu<mailto:avenkate at uci.edu>

tel: 949 824 6625 (office)

       949 413 2887 (mobile)

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