Guides: Text Mining &amp; Analysis @ Pitt: Further Reading

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Guide Contributors

Tyrica Terry Kapral (tyt3@pitt.edu)
Khalilah Chaar-Perez

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"Text Mining & Analysis @ Pitt" by University of Pittsburgh Library System is licensed for reuse under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Recommended Readings

Here are some helpful readings to learn more about text mining and analysis.

Introductory Texts
Theoretical and Critical Texts

Arnold, Taylor, Nicolas Ballier, Paula Lissón, and Lauren Tilton. 2019. “Beyond Lexical Frequencies: Using R for Text Analysis in the Digital Humanities.” Language Resources and Evaluation 53 (4): 707–33.
Feldman, Ronen, and James Sanger. 2007. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge ; New York: Cambridge University Press.
Hackler, Ruben, and Guido Kirsten. 2016. “Distant Reading, Computational Criticism, and Social Critique: An Interview with Franco Moretti.” Le Foucaldien 2 (1).
Ignatow, Gabe, and Rada Mihalcea. 2018. An Introduction to Text Mining: Research Design, Data Collection, and Analysis. SAGE Publications, Inc, Thousand Oaks, California.
Jockers, Matthew L. 2013. Macroanalysis : Digital Methods and Literary History. University of Illinois Press.
Ramsay, Stephen. 2011. Reading Machines: Toward an Algorithmic Criticism. Urbana: University of Illinois Press.
Miller, A. 2018. “Text Mining Digital Humanities Projects: Assessing Content Analysis Capabilities of Voyant Tools.” Journal of Web Librarianship 12 (3): 169–97.
Schreibman, Susan, Raymond George Siemens, and John Unsworth. 2016. A New Companion to Digital Humanities. Vol. 93. Blackwell Companions to Literature and Culture. Willy Blackwell.
Sinclair, Stéfan, and Geoffrey Rockwell. 2015. “10. Teaching Computer-Assisted Text Analysis: Approaches to Learning New Methodologies.” In Digital Humanities Pedagogy : Practices, Principles and Politics, edited by Brett D. Hirsch, 241–63. Digital Humanities Series. Cambridge: Open Book Publishers.
Tonkin, Emma, Gregory J. L. Tourte, and Greg Harris. 2016. Working with Text: Tools, Techniques and Approaches for Text Mining. Chandos Publishing.
Underwood, Ted. 2015. "Seven Ways Humanists Are Using Computers to Understand Text." The Stone and the Shell. June 4, 2015.
Underwood, Ted. 2015. “The Literary Uses of High-Dimensional Space.” Big Data & Society, July-December 2015.

Gold, Matthew K., and Lauren F. Klein. 2016. Debates in the Digital Humanities 2016. Minneapolis: University of Minnesota Press.
Long, Hoyt. “The Sociology of Forms.” PMLA vol. 132, no. 5, 2017, pp. 1206–13.
Jin, Jay. 2017. “Problems of Scale in ‘Close’ and ‘Distant’ Reading.” Philological Quarterly 96 (1): 105-.129.
Orlemanski, Julie. 2014. “Scales of Reading.” Exemplaria 26 (2–3): 215–33.
Schilperoort, Hannah. 2015. “Feminist Markup and Meaningful Text Analysis in Digital Literary Archives.” Library Philosophy and Practice, January, 2015.
Underwood, Ted , David Bamman, and Sabrina Lee. 2018. “The Transformation of Gender in English-Language Fiction,” Journal of Cultural Analytics, February 13, 2018.

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Text Mining & Analysis @ Pitt

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Recommended Readings