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Can We Be Wrong? The Problem Of Textual Evidence In A Time Of Data

by Andrew (Mcgill University, Montreal) Piper
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language: english
Publisher: CAMBRIDGE UNIVERSITY PRESS, November of 2020 ‧
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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.

Can We Be Wrong? The Problem Of Textual Evidence In A Time Of Data

by Andrew (Mcgill University, Montreal) Piper

Property Description
ISBN: 9781108926201
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: November of 2020
Language: English
Cover: Softcover
Pages: 86
Format: Book
Collection: Elements In Digital Literary Studies
Categories: Books in English > Fiction > History of Literature
Books in English > Others
EAN: 9781108926201