Chapter 4. An Exploration of Machine Learning in Libraries
Abstract
Chapter 4 of Library Technology Reports (vol. 55, no. 1), "An Exploration of Machine Learning in Libraries"
In this chapter, contributing author Craig Boman explores the use of latent Dirichlet allocation (LDA), a type of machine learning model, in the generation of library subject headings.
References
Cornell University Research Data Management Service Group, “Metadata and Describing Data,” accessed October 10, 2018, https://data.research.cornell.edu/content/writing-metadata.
Roy Tennant, “MARC Must Die,” Digital Libraries, LJ Infotech, Library Journal 127, no. 17 (October 15, 2002): 26–27.
Jasmine Aguilera, “Another Word for ‘Illegal Alien’ at the Library of Congress: Contentious,” New York Times, July 22, 2016, https://www.nytimes.com/2016/07/23/us/another-word-for-illegal-alien-at-the-library-of-congress-contentious.html.
Derek Hawkins, “The Long Struggle over What to Call ‘Undocumented Immigrants’ or, as Trump Said in His Order, ‘Illegal Aliens,’” Washington Post, February 9, 2017, https://www.washingtonpost.com/news/morning-mix/wp/2017/02/09/when-trump-says-illegals-immigrant-advocates-recoil-he-would-have-been-all-right-in-1970/?noredirect=on&utm_term=.f080a2218603.
Melissa A. Adler, “The ALA Task Force on Gay Liberation: Effecting Change in Naming and Classification of GLBTQ Subjects,” Advances in Classification Research Online 23, no. 1 (2013): https://doi.org/10.7152/acro.v23i1.14226.
Thomas G. Padilla, “Collections as Data: Implications for Enclosure,” College and Research Libraries News 79, no. 6 (June 2018): 296–300, https://crln.acrl.org/index.php/crlnews/article/view/17003/18740.
Chris Bourg, “What Happens to Libraries and Librarians When Machines Can Read All the Books?” Feral Librarian (blog), March 16, 2017, https://chrisbourg.wordpress.com/2017/03/16/what-happens-to-libraries-and-librarians-when-machines-can-read-all-the-books.
Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism (New York: New York University Press, 2018).
Bourg, “What Happens to Libraries?”
Rong Ge, “Lecture 1: Machine Learning Basics” (slide presentation, COMPSCI 590.7—Algorithmic Aspects of Machine Learning, Duke University Department of Computer Science, Fall 2015), https://www2.cs.duke.edu/courses/fall15/compsci590.7/lecture1.pdf.
David M. Blei, Andrew Y. Ng, Michael I. Jordan, and John Lafferty, “Latent Dirichlet Allocation,” Journal of Machine Learning Research 3, no. 4/5 (2003): 993–1022.
Julia Silge and David Robinson, “Topic Modeling,” chapter 6 in Text Mining with R: A Tidy Approach (Sebastopol, CA: O’Reilly Media, 2017), https://www.tidytextmining.com.
Théo Vanderheyden, “Pickle in Python: Object Serialization,” DataCamp, April 5, 2018, https://www.datacamp.com/community/tutorials/pickle-python-tutorial.
Jason Brownlee, Machine Learning Mastery website, accessed October 10, 2018, https://machinelearningmastery.com.
Michael Dudley, “Algorithms Don’t Think about Race. So Tech Giants Need To,” The Decolonized Librarian (blog), February 7, 2017, https://decolonizedlibrarian.wordpress.com/tag/bias.
