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The Dangerous Art of Text Mining celebrates the bold new research now possible because of text mining: the art of counting words over time. However, this book also presents a warning: without help from the humanities, data science can distort the past and lead to perilous errors. The book opens with a rogue's gallery of errors, then tours the ground-breaking analyses that have resulted from collaborations between humanists and data scientists. Jo Guldi explores how text mining can give a glimpse of the changing history of the past - for example, how quickly Americans forgot the history of slavery. Textual data can even prove who was responsible in Congress for silencing environmentalism over recent decades. The book ends with an impassioned vision of what text mining in defence of democracy would look like, and why humanists need to be involved.
Book Details
Publisher: Cambridge University Press
Publish Date: Oct 5th, 2023
Pages: 436
Language: English
Edition: undefined - undefined
Dimensions: 9.00in - 6.00in - 1.00in - 1.45lb
EAN: 9781009262996
Categories: • Historiography• System Administration - Storage & Retrieval
About the Author
Guldi, Jo: - Jo Guldi is Associate Professor of History, Southern Methodist University, and Director of the Digital Humanities Minor. Her publications include, as co-author with David Armitage, The History Manifesto (Cambridge, 2014).
Praise for this book
'An ambitious work that demonstrates how quantitative methods can inform the study of the past while also making a compelling case for how historical methods should inform the work of data science. Guldi outlines a middle ground based on "hybrid thinking," where historians and data scientists can meet to think critically about how data is used and abused to understand the past and present.' Spencer Dean Stewart, H-Net
'... an in-depth look at the pros and cons of utilizing this methodology for historical research ... Recommended.' W. Kramer, CHOICE
'Guldi's book ... stands out for its robust grounding in historical theory and its clear demonstration of how text mining can assist historians in exploring temporal experiences. Its focus on parliamentary data provides tangible examples, inspiring future scholars to further explore how digital methods can augment historical research.' Melvin Wevers, Technology & Culture