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Images as data for social science researchan introduction to convolutional neural nets for image classification /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Images as data for social science researchNora Webb Williams, Andreu Casas, John D. Wilkerson.
Reminder of title:	an introduction to convolutional neural nets for image classification /
Author:	Webb Williams, Nora.
other author:	Casas, Andreu.
Published:	Cambridge :Cambridge University Press,2020.
Description:	78 p. :ill. (some col.), digital ; 23 cm.
Notes:	Title from publisher's bibliographic system (viewed on 17 Jul 2020).
Subject:	Political scienceResearch
Online resource:	https://doi.org/10.1017/9781108860741
ISBN:	9781108860741$q(electronic bk.)

Images as data for social science researchan introduction to convolutional neural nets for image classification /
Webb Williams, Nora.

Images as data for social science researchan introduction to convolutional neural nets for image classification /[electronic resource] :Nora Webb Williams, Andreu Casas, John D. Wilkerson. - Cambridge :Cambridge University Press,2020. - 78 p. :ill. (some col.), digital ; 23 cm. - Cambridge elements. Elements in quantitative and computational methods for social science. - Cambridge elements.Elements in quantitative and computational methods for social science..

Title from publisher's bibliographic system (viewed on 17 Jul 2020).

Images play a crucial role in shaping and reflecting political life. Digitization has vastly increased the presence of such images in daily life, creating valuable new research opportunities for social scientists. We show how recent innovations in computer vision methods can substantially lower the costs of using images as data. We introduce readers to the deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. We then provide guidance and specific instructions for scholars interested in using these methods in their own research.

ISBN: 9781108860741$q(electronic bk.)Subjects--Topical Terms:

289952
Political science
--Research

LC Class. No.: JA86 / .W55 2020

Dewey Class. No.: 320.072

Images as data for social science researchan introduction to convolutional neural nets for image classification /
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500 $a Title from publisher's bibliographic system (viewed on 17 Jul 2020).
520 $a Images play a crucial role in shaping and reflecting political life. Digitization has vastly increased the presence of such images in daily life, creating valuable new research opportunities for social scientists. We show how recent innovations in computer vision methods can substantially lower the costs of using images as data. We introduce readers to the deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. We then provide guidance and specific instructions for scholars interested in using these methods in their own research.
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