Text as Data: A New Framework for Machine Learning and the Social Sciences

Author:   Justin Grimmer ,  Margaret E. Roberts ,  Brandon M. Stewart
Publisher:   Princeton University Press
ISBN:  

9780691207544


Pages:   360
Publication Date:   29 March 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Text as Data: A New Framework for Machine Learning and the Social Sciences


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Author:   Justin Grimmer ,  Margaret E. Roberts ,  Brandon M. Stewart
Publisher:   Princeton University Press
Imprint:   Princeton University Press
ISBN:  

9780691207544


ISBN 10:   0691207542
Pages:   360
Publication Date:   29 March 2022
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

Among the metaverse of possible books on Text as Data that could have been published . . . I was pleased that my universe produced this one. I will assign this book as a critical part of my own course on content analysis for years to come, and it has already altered and improved the coherence of my own vocabulary and articulation for several critical choices underlying the process of turning text into data. . . . Highly recommend this book. ---James Evans, Sociological Methods & Research


Author Information

Justin Grimmer is professor of political science and a senior fellow at the Hoover Institution at Stanford University. Twitter @justingrimmer Margaret E. Roberts is associate professor in political science and the Halcolu Data Science Institute at the University of California, San Diego. Twitter @mollyeroberts Brandon M. Stewart is assistant professor of sociology and Arthur H. Scribner Bicentennial Preceptor at Princeton University. Twitter @b_m_stewart

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