Can We Be Wrong? The Problem of Textual Evidence in a Time of Data - Elements in Digital Literary Studies - Piper, Andrew (McGill University, Montreal) - Books - Cambridge University Press - 9781108926201 - November 19, 2020
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data - Elements in Digital Literary Studies


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This Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens of thousands of sentences from different disciplines alongside a robust discussion of potential solutions to the problem of the generalizability of textual evidence.


75 pages, Worked examples or Exercises; 13 Line drawings, black and white

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 19, 2020
ISBN13 9781108926201
Publishers Cambridge University Press
Pages 86
Dimensions 227 × 150 × 9 mm   ·   142 g
Language English  

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