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:

Blei, David M. ‘Topic Modeling and Digital Humanities’. Journal of Digital Humanities. N.p., 8 Apr. 2013. Web. Available at:

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:

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:

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:

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:

Heuser, Ryan. “Word Vectors in the Eighteenth Century, Episode 3: From Fields to Vectors.” Adventures of the Virtual. N.p., 2016. Web. Available at:

Hoover, David L. ‘Textual Analysis’. Literary Studies in the Digital Age. 2013. Web. Available at:

Marche, Stephen. ‘Literature Is Not Data: Against Digital Humanities’. Los Angeles Review of Books. N.p., 28 Oct. 2012. Web. Available at:!

McCandless, David. The Beauty of Data Visualization. TED, July 2010. Lecture. Available at:

Moretti, Franco. ‘Conjectures on World Literature’. New Left Review 1 (2000): 54–68. Print. Available at:

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:

Rosenthal, Jesse. “Introduction: ‘Narrative against Data.’” Genre 50.1 (2017): 1–18. Web. Available at:

Schmidt, Ben. “Vector Space Models for the Digital Humanities.” Ben’s Bookworm Blog. N.p., 2015. Web. Available at:

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: