What would the history of ideas look like if we were able to read
the entire archive of printed material of a historical period?
Would our 'great men (usually)' story of how ideas are formed and
change over time begin to look very different? This book explores
these questions through case studies on ideas such as 'liberty',
'republicanism' or 'government' using digital humanities approaches
to large scale text data sets. It sets out the methodologies and
tools created by the Cambridge Concept Lab as exemplifications of
how new digital methods can open up the history of ideas to
heretofore unseen avenues of enquiry and evidence. By applying text
mining techniques to intellectual history or the history of
concepts, this book explains how computational approaches to text
mining can substantially increase the power of our understanding of
ideas in history.
General
Imprint: |
Cambridge UniversityPress
|
Country of origin: |
United Kingdom |
Release date: |
November 2023 |
Editors: |
Peter de Bolla
|
Pages: |
300 |
ISBN-13: |
978-1-00-926358-0 |
Categories: |
Books
Promotions
|
LSN: |
1-00-926358-7 |
Barcode: |
9781009263580 |
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