dhcu.ca

Text Analysis

DH deals with a lot of text

Cottom, Tressie McMillan ‘Nascent Thoughts on Text Analysis Across Disciplines’ http://tressiemc.com/2015/08/06/nascent-thoughts-on-text-analysis-across-disciplines/

Clement, Tanya et al., 2008 “How Not to Read a Million Books”. http://www.people.virginia.edu/~jmu2m/hownot2read.html.

Clement, Tanaya. 2013. “Text Analysis, Data Mining, and Visualizations in Literary Scholarship” https://dlsanthology.mla.hcommons.org/text-analysis-data-mining-and-visualizations-in-literary-scholarship/

Graham, S., I Milligan, S. Weingart The Historian’s Macroscope: Big Digital History http://www.themacroscope.org/?page_id=113

Healy, Kieran. ‘Using Metadata to Find Paul Revere’ https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/

Michel, Jean-Baptiste, et al. 2011 “Quantitative Analysis of Culture Using Millions of Digitized Books,” Science Vol. 331, 176 (14 January 2011). http://www.librarian.net/wp-content/uploads/science-googlelabs.pdf

Moravec, Michelle. ‘Corpus Linguistics for Historians’ http://historyinthecity.blogspot.ca/2013/12/corpus-linguistics-for-historians.html

Rockwell, Geoffrey “What is Text Analysis, Really?,” Literary and Linguistic Computing 18.2 (2003): 209-220. https://doi.org/10.1093/llc/18.2.209

Journal of Cultural Analytics http://culturalanalytics.org/

Schmidt, Ben. 2015 ‘Vector Space Models for the Digital Humanities’ http://bookworm.benschmidt.org/posts/2015-10-25-Word-Embeddings.html

Speer, Rob. 2017 ‘How to make a racist AI without really trying’ ConceptNet Blog https://blog.conceptnet.io/2017/07/13/how-to-make-a-racist-ai-without-really-trying/

The Syuzhet Episode: http://www.matthewjockers.net/2015/02/02/syuzhet/

https://github.com/mjockers/syuzhet/

https://annieswafford.wordpress.com/2015/03/02/syuzhet/

Cover Image Patrick Tomasso, Unsplash