Theorizing research practices we forgot to theorize twenty years ago

Representations

Volumn 127, Issue 1, 2014, Pages 64-72

  Underwood, Ted ^a  

^a NONE

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[No Author keywords available]

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EID: 84905659021     PISSN: 07346018     EISSN: None     Source Type: Journal    
DOI: 10.1525/rep.2014.127.1.64     Document Type: Article

References (20)

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2. Always Already New: Media, History, and the Data of Culture (Cambridge, MA, 2006), 7.
3. René König and Miriam Rasch, eds., Society of the Query Reader: Reflections onWeb Search (Amsterdam, 2014), Institute ofNetwork Cultures, Hogeschool van Amsterdam, Amsterdam University of Applied Sciences, http://www.net workcultures.org/publications.
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5. Luc Bovens andStephanHartmann, Bayesian Epistemology (Oxford, 2003).
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8. Peter D. Turney and Patrick Pantel, ''From Frequency to Meaning: Vector Space Models of Semantics,'' Journal of Artificial Intelligence Research 37 (2010): 141-88.
9. Ted Underwood, ''Topic Modeling Made Just Simple Enough,'' The Stone and the Shell, April 7, 2012, http://ted underwood.com/2012/04/07/topic-modeling- made-just-simple-enough/.
10. David Blei, ''Probabilistic Topic Models,'' Communications of the ACM 55 (2012): 77-84.
11. Ted Underwood et al., ''Mapping Mutable Genres in Structurally Complex Volumes,'' 2013 IEEE International Conference on Big Data, 95-103, arXiv.org, Cornell University Library, http://arxiv.org/abs/1309.3323.
12. Matthew L. Jockers, Macroanalysis: Digital Methods and Literary History (Urbana, 2013).
13. Robert K. Nelson, ''Mining the Dispatch,'' Digital Scholarship Lab, University of Richmond, http://dsl.richmond.edu/dispatch/.
14. Andrew Goldstone and Ted Underwood, ''The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us,'' New Literary History (forthcoming), preprint: https://www.ideals.illinois.edu/handle/2142/ 49323.
15. Alan Liu, ''The Meaning of the Digital Humanities,'' PMLA 128 (2013): 414.
16. Chris Anderson, ''The End of Theory: The Data Deluge Makes the Scientific Method Obsolete,'' Wired, June 23, 2008, http://www.wired.com/science/disco veries/magazine/16-07/pb-theory.
17. ''Fundamentally, computer science is a science of abstraction-creating the right model for thinking about a problem.'' Alfred Aho and Jeff Ullman, Foundations of Computer Science (New York, 1994), 1.
18. Lisa M. Rhody, ''Topic Modeling and Figurative Language,'' JDH: Journal of Digital Humanities 2, no. 1 (2012), http://journalofdigitalhumanities.org/2- 1/topic-modeling-andfigurative- language-by-lisa-m-rhody/.
19. Benjamin M. Schmidt, ''Words Alone: Dismantling Topic Models in the Humanities,'' JDH: Journal of Digital Humanities 2, no. 1 (2012), http://journalofdigitalhumanities.org/2-1/words-alone-by-benjaminm- schmidt/
20. Xuerui Wang and Andrew McCallum, ''Topics over Time: A Non-Markov Continuous-Time Model of Topical Trends,'' in Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (New York, 2006), 424-33.