Readings

This list of readings includes those assigned for lectures as well as those for further reading.

Algee-Hewitt, Mark, Ryan Heuser, and Franco Moretti. “On Paragraphs. Scale, Themes, and Narrative Form.” 2015: n. pag. Web. Available at: https://litlab.stanford.edu/LiteraryLabPamphlet10.pdf

Blei, David M. ‘Topic Modeling and Digital Humanities’. Journal of Digital Humanities. N.p., 8 Apr. 2013. Web. Available at: http://journalofdigitalhumanities.org/2-1/topic-modeling-and-digital-humanities-by-david-m-blei/

Buurma, R. S. “The Fictionality of Topic Modeling: Machine Reading Anthony Trollope’s Barsetshire Series.” Big Data & Society 2.2 (2015): 1–6. Web. Available at: http://journals.sagepub.com/doi/pdf/10.1177/2053951715610591

Chang, Jonathan et al. “Reading Tea Leaves: How Humans Interpret Topic Models.” Advances in Neural Information Processing Systems 22 (2009): 288–296. Web. Available at: http://www.umiacs.umd.edu/~jbg/docs/nips2009-rtl.pdf

Drouin, Jeffrey. “Close- and Distant- Reading Modernism: Network Analysis, Text Mining, and Teaching The Little Review.” The Journal of Modern Periodical Studies 5.1 (2014): 110–135. Web. Available at:http://muse.jhu.edu.jproxy.nuim.ie/article/552219

Grayson, Siobhán et al. “Novel2Vec: Characterising 19th Century Fiction via Word Embeddings.” 24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’16). CEUR-WS, 2016. 68–79. Web. Available at: http://ceur-ws.org/Vol-1751/AICS_2016_paper_48.pdf

Heuser, Ryan. “Word Vectors in the Eighteenth Century, Episode 3: From Fields to Vectors.” Adventures of the Virtual. N.p., 2016. Web. Available at: http://ryanheuser.org/word-vectors-3/

Hoover, David L. ‘Textual Analysis’. Literary Studies in the Digital Age. 2013. Web. Available at: https://dlsanthology.mla.hcommons.org/textual-analysis/

Marche, Stephen. ‘Literature Is Not Data: Against Digital Humanities’. Los Angeles Review of Books. N.p., 28 Oct. 2012. Web. Available at: https://lareviewofbooks.org/article/literature-is-not-data-against-digital-humanities/#!

McCandless, David. The Beauty of Data Visualization. TED, July 2010. Lecture. Available at: https://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization

Moretti, Franco. ‘Conjectures on World Literature’. New Left Review 1 (2000): 54–68. Print. Available at: https://newleftreview.org/II/1/franco-moretti-conjectures-on-world-literature

Murakami, A. et al. “‘What Is This Corpus About?’ Using Topic Modeling to Explore a Specialized Corpus.” Corpora 12.2 (2017): 243–277. Web. Available at: http://www.euppublishing.com/doi/10.3366/cor.2017.0118

Rosenthal, Jesse. “Introduction: ‘Narrative against Data.’” Genre 50.1 (2017): 1–18. Web. Available at: http://genre.dukejournals.org/content/50/1/1.full.pdf+html

Schmidt, Ben. “Vector Space Models for the Digital Humanities.” Ben’s Bookworm Blog. N.p., 2015. Web. Available at: http://bookworm.benschmidt.org/posts/2015-10-25-Word-Embeddings.html

Scrivner, Olga, and Jefferson Davis. “Interactive Text Mining Suite : Data Visualization for Literary Studies.” Proceedings of the Workshop on Corpora in the Digital Humanities (CDH 2017). CEUR, 2017. 29–38. Web. Available at: http://ceur-ws.org/Vol-1786/scrivner.pdf