Library Guides: Text Analysis: Example Projects to Inspire

Example Projects

Blevins, Cameron. (April 2010) "Topic Modeling Marth Ballard's Diary." Blog Post
Block, Sharon. (January 2006) "Doing More with Digitization." Common Place. Vol.6 No.2
Brown, Nicole et al. ( Aug 2019) "In Search of Zora/When Metadata Isn’t Enough: Rescuing the Experiences of Black Women Through Statistical Modeling." Library Metadata. Vol 19. Issue 3-4, Page 141
Article on the Rescued History project
Emerging Technology and arXiv.(July 2016) "Data Mining Reveals Six Basic Emotional Arcs of Storytelling," MIT Review
Scientists at the Computational Story Laboratory at the University of Vermont have used sentiment analysis to map emotional arcs of over 1700 stories.
King, Lindsey and Peter Leonard. (2019) "Robots Reading Vogue." Yale University.
Vogue is completely digitized and marked up as both text and images. See examples of work Yale has done on this corpus.
Mitts, Tamar. (March 31, 2017) "From Isolation to Radicalization: Anti-Muslim Hostility and Support for ISIS in the West." SSRN
Mueller, Hannes and Christopher Rauh. (May 2018) "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text." American Political Science Review. Vol. 112, Issue 2, Page 358
National Science Foundation. (2016) "Rescued History: Using Big Data." Press Release
Massive data analysis helps uncover black women's experiences.
Nelson, Robert. "Mining the Dispatch" Digital Scholarship Lab, University of Richmond.
Newspapers as Data Project
"Using Newspapers as Data for Collaborative Pedogogy: A Multidisciplinary Interrogation of the Borderlands in Undergraduate Classrooms" brings together a group of library faculty and disciplinary scholars to introduce students to data literacy and computational analysis using digitized historical newspapers from Arizona.
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The University of Arizona Libraries was awarded a Collections as Data: Part to Whole grant funded by The Andrew Mellon Foundation and re-granted by the University of Nevada Las Vegas, in collaboration with the University of Iowa.
On the Books: Jim Crow and Algorithms of Resistance
Can text mining and machine learning identify racist language in legal documents?
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On the Books is a text mining project with a goal of discovering Jim Crow and racially-based legislation signed into law in North Carolina between Reconstruction and the Civil Rights Movement.

USC Related Work

Gavin, Michael. (2023) Literary Mathematics
Learn key concepts for the statitical analysis of corpus data, with examples and background discussion. Explore sample results, analysis, and demonstrations of computational literary analyses.
On the Books: Jim Crow and Algorithms of Resistance
Can text mining and machine learning identify racist language in legal documents?
more...less...
On the Books is a text mining project with a goal of discovering Jim Crow and racially-based legislation signed into law in North Carolina between Reconstruction and the Civil Rights Movement.