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Analyzing Text Data with Voyant & Google's Ngram Viewer

Explore text analysis tools like Voyant and Google's Ngram Viewer to reveal trends in word use, analyze research institution policies and funding agency guidance. Learn the limitations and benefits of distant reading for in-depth analysis.

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Analyzing Text Data with 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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