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Hi Nathan,
You should take a look at the Frame Mapping approach of M.M. Miller: http://ssc.sagepub.com/content/15/4/367.abstract
On a different note, in political science, co-occurrence of words in party manifestos is often used to estimate ideological positions of political parties, so that may also be relevant. You may want to browse the website of Kenneth Benoit, who has authored several papers about this (there are of course others, but this gives a good overview): http://www.kenbenoit.net/cv/publications/
For my dissertation, I wrote a review chapter of methodological and theoretical approaches dealing both with network analysis and text data. I can send you a copy (not necessarily over the socnet list though) if you are interested. Perhaps it contains some useful ideas what kinds of approaches may be relevant for your research question.
Best,
Philip
--
Dr. Philip Leifeld
Eawag: Das Wasserforschungsinstitut des ETH-Bereichs
Swiss Federal Institute of Aquatic Science and Technology
Universität Bern, Institut für Politikwissenschaft
University of Bern, Institute of Political Science
Eawag, Überlandstr. 133, 8600 Dübendorf, Switzerland
Phone: +41 58 765 5673 | E-mail: [log in to unmask]
Office: FC-E18 | Homepage: http://www.philipleifeld.de
________________________________________
Von: Social Networks Discussion Forum [[log in to unmask]] im Auftrag von Nate Doogan [[log in to unmask]]
Gesendet: Freitag, 29. Juni 2012 13:17
An: [log in to unmask]
Betreff: [SOCNET] Text Network Analysis
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Hi all.
I've got several large corpuses (10K - 40K documents each) of small
documents (2 - 30 words). With these I can develop networks of words
given membership to documents and vice versa (binary two-mode nets
projected to weighted one-mode nets). My present goal is to codify
documents and use the codes in further analysis. Are there any
literature recommendations that might help me think through the best
way to go about codifying documents (or words) in this way?
Nathan Doogan
Doctoral Candidate -- Social Work
The Ohio State University
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