Bibliography for Class 6 of English 238 (Fall 2021)
Digital Humanities: Introduction to the Field
The following is the part of the English 228 bibliography relevant to this class. (Also see: cumulative course bibliography.)
Blei, David M. “Probabilistic Topic Models.” Commun. ACM 55, no. 4 (2012): 77–84. https://doi.org/10.1145/2133806.2133826. Cite Download
Dibble, Megan. “An Explanation of Machine Learning Models Even You Could Understand.” TNW News, April 25, 2020. https://thenextweb.com/news/machine-learning-models-explained-to-a-five-year-old-syndication. Cite
Goldstone, Andrew. “A Topic Model of Literary Studies Journals,” 2014. https://www.sas.rutgers.edu/virtual/ag978/quiet/#/model/grid. Cite
Goldstone, Andrew, Susana Galán, C. Laura Lovin, Andrew Mazzaschi, and Lindsey Whitmore. “Topics in Signs: A Topic Model of the Signs Archive.” Signs at 40, 2014. http://signsat40.signsjournal.org/topic-model/#/about. Cite
Goldstone, Andrew, Susana Galán, C. Laura Lovin, Andrew Mazzaschi, and Lindsey Whitmore. “Interpreting the Topic Model of Signs.” Signs at 40, 2014. http://signsat40.signsjournal.org/topic-model/#/about. Cite
Mohr, John W., and Petko Bogdanov. “Introduction—Topic Models: What They Are and Why They Matter.” Poetics, Topic Models and the Cultural Sciences, 41, no. 6 (2013): 545–69. https://doi.org/10.1016/j.poetic.2013.10.001. Cite
Piper, Andrew. “Topoi (Dispersion).” In Enumerations: Data and Literary Study, 66–93. Chicago: Univ. of Chicago Press, 2019. Cite
Underwood, Ted. Topic Modeling Made Just Simple Enough., 2012. https://tedunderwood.com/2012/04/07/topic-modeling-made-just-simple-enough/. Cite
WhatEvery1Says (WE1S) Project. “U.S. News Media, c. 1989-2019, Collection 1.” WE1S, 2019. http://harbor.english.ucsb.edu:10002/collections/20190620_2238_us-humanities-all-no-reddit/. Cite
