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Introducing Voyant & Google’s Ngram Viewer Spencer D. C. Keralis Postdoctoral Fellow in Academic Libraries, Council on Library & Information Resources.

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Presentation on theme: "Introducing Voyant & Google’s Ngram Viewer Spencer D. C. Keralis Postdoctoral Fellow in Academic Libraries, Council on Library & Information Resources."— Presentation transcript:

1 Introducing Voyant & Google’s Ngram Viewer Spencer D. C. Keralis Postdoctoral Fellow in Academic Libraries, Council on Library & Information Resources & UNT Libraries

2 Spencer D. C. Keralis Postdoctoral Fellow in Academic Libraries, Council on Library & Information Resources & UNT spencerkeralis.com

3 Distant Reading Franco Moretti “Conjectures on World Literature,” New Left Review (I, Jan-Feb 2000). Graphs, Maps, Trees. (London, New York: Verso, 2005) Stanford Literary Lab.

4 Wordle Spencer D. C. Keralis. “Feeling Animal: Pet-Making & Mastery in The Slave’s Friend.” American Periodicals (Volume 22, Number 2, 2012).

5 Google’s n-Gram Viewer  a contiguous sequence of n items from a given sequence of  Used to reveal trends in word use across a broad corpus, defined by the user (and Google books, of course), and over specified durée 

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7 Voyant  “a web-based reading and analysis environment for digital texts.”  Analytic tools to examine a user-specified corpus. 

8  Text analysis of research institution policies governing the retention and sharing of research data.  Text analysis of funding agency guidance to applicants  datamanagement.unt.edu

9 Limitations  Visualizations of “text data” are information products, not knowledge products.  Proximity proves nothing without context.  Unable to read metaphor, puns, figures of speech, etc.  Close reading, and contextual understanding still required for proper analysis.

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