I Humanities Data / Textual Analysis
Ted Underwood. "Seven Ways Humanists Are Using Computers to Understand Text". The Stone and the Shell. 4 June 2015. https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/
Geoffrey Rockwell and Stéfan Sinclair. "Thinking-through the History of Computer Assisted Text Analysis" Doing Digital Humanities, 2016, 9-21.
Douglas Biber. "Corpus linguistics and the Study of Literature: Back to the Future?" Scientific Study of Literature 1.1(2011): 15-23.
Lauren Klein. "Distant Reading Beyond Moretti". Blog. 10 January 2018. http://lklein.com/2018/01/distant-reading-after-moretti/
Nan Z. Da, "The Computational Case against Computational Literary Studies," Critical Inquiry 45, no. 3 (Spring 2019): 601-639. https://doi.org/10.1086/702594
Responses to Da: https://critinq.wordpress.com/2019/03/31/computational-literary-studies-a-critical-inquiry-online-forum/ http://benschmidt.org/post/critical_inquiry/2019-03-18-nan-da-critical-inquiry/
Tanya Clement. Text Analysis, Data Mining, and Visualizations in Literary Scholarship. Literary Studies in the Digital Age: An Evolving Anthology. MLA. https://dlsanthology.mla.hcommons.org/text-analysis-data-mining-and-visualizations-in-literary-scholarship/.
II Networks / General Visualization
Claire Lemercier. Formal network methods in history: why and how?. Social Networks, Political Institutions, and Rural Societies, Brepols, pp.281-310, 2015, 978-2-503-54804-3. <10.1484/M.RURHEEB.4.00198>.
Katy Börner, Oyvind Eide, Tamara Mchedlidze, Malte Rehbein, Gerik Scheuermann. Network Visualization in the Humanities, Dagsthul Reports 8.11, pp. 139-153. http://drops.dagstuhl.de/opus/volltexte/2019/10359/
III Mapping / Geospatial
Christopher Donaldson, Ian N. Gregory, Patricia Murrieta-Flores, Mapping ‘Wordsworthshire’: A GIS Study of Literary Tourism in Victorian Lakeland, Journal of Victorian Culture, Volume 20, Issue 3, 1 September 2015, Pages 287–307, https://doi.org/10.1080/13555502.2015.1058089
IV Stylometry
John Burrows. "'Delta': A Measure of Stylistic Difference and a Guide to Likely Authorship". Literary and Linguistic Computing 17.3 (2002): 267–287.
J. Berenike Herrmann, Karina van Dalen-Oskam, and Christof Schöch. "Revisiting Style, a Key Concept in Literary Studies". Journal of Literary Theory 9.1 (2015): 25–52.
Mike Kestemont. Function Words in Authorship Attribution From Black Magic to Theory? Proceedings of the 3rd Workshop on Computational Linguistics for Literature (CLfL) @ EACL 2014, pages 59–66, Gothenburg, Sweden, April 27, 2014. https://www.aclweb.org/anthology/W14-0908
General:
Siemens, R. and Schreibman, S. A Companion to Digital Literary Studies. Oxford: Blackwell, 2008. http://www.digitalhumanities.org/companionDLS/
Hill, M. J. and Hengchen, S. Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study. Digital Scholarship in the Humanities https://academic.oup.com/dsh/advance-article/doi/10.1093/llc/fqz024/5476122.
Han, T. and Hickman, A. Our Search for the Best OCR Tool, and What We Found, OpenNews https://source.opennews.org/articles/so-many-ocr-options/ (accessed 11 May 2019).
Datasets:
.txtlab https://txtlab.org/data-sets/
Student created spatial datasets: http://hdl.handle.net/2451/44256; http://hdl.handle.net/2451/44257; http://hdl.handle.net/2451/44258; http://hdl.handle.net/2451/44259; http://hdl.handle.net/2451/44260; http://hdl.handle.net/2451/44261; http://hdl.handle.net/2451/44262