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Introducing Voyant & Google’s Ngram Viewer

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

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Introducing Voyant & Google’s Ngram Viewer

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  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 Libraries @hauntologistspencerkeralis.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. http://litlab.stanford.edu/

  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 • http://books.google.com/ngrams

  6. Voyant • “a web-based reading and analysis environment for digital texts.” • Analytic tools to examine a user-specified corpus. • http://voyant-tools.org/

  7. 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 http://voyeurtools.org/?corpus=1339433219420.4969

  8. 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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