Andrew Piper (Montreal McGill University)

Broschiertes Buch

Can We Be Wrong? The Problem of Textual Evidence in a Time of Data

Beschreibung

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.

Autor

Andrew Piper is Professor and William Dawson Scholar in the Department of Languages, Literatures, and Cultures at McGill University. He is the director of .txtLAB, a laboratory for cultural analytics, and editor of the Journal of Cultural Analytics. He is also the author of Enumerations: Data and Literary Study (Chicago 2018).

Produktdetails

• Elements in Digital Literary Studies
• Verlag: Cambridge University Press
• Seitenzahl: 75
• Erscheinungstermin: 19. November 2020
• Englisch
• Abmessung: 229mm x 153mm x 10mm
• Gewicht: 142g
• ISBN-13: 9781108926201
• ISBN-10: 1108926207
• Artikelnr.: 60019506