eBook - PDF

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

Name: Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
ISBN: 9781108912600

Andrew Piper,

English
PDF
Available on iOS & Android

eBook - PDF

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

Andrew Piper,

About this book

This Element tackles the problem of generalization with respect to text-based evidence in the field of literary studies. When working with texts, how can we move, reliably and credibly, from individual observations to more general beliefs about the world? The onset of computational methods has highlighted major shortcomings of traditional approaches to texts when it comes to working with small samples of evidence. 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. It exemplifies the way mixed methods can be used in complementary fashion to develop nuanced, evidence-based arguments about complex disciplinary issues in a data-driven research environment.

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Yes, you can access Can We Be Wrong? The Problem of Textual Evidence in a Time of Data by Andrew Piper in PDF and/or ePUB format, as well as other popular books in Literature & Literary Criticism Theory. We have over one million books available in our catalogue for you to explore.