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Images as data for social science re...

Webb Williams, Nora.

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Images as data for social science research = an introduction to convolutional neural nets for image classification /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Images as data for social science research/ Nora 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 science - Research -
Online resource:	https://doi.org/10.1017/9781108860741
ISBN:	9781108860741

Images as data for social science research = an 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: 9781108860741Subjects--Topical Terms:

910357
Political science
--Research

LC Class. No.: JA86 / .W55 2020

Dewey Class. No.: 320.072

Images as data for social science research = an introduction to convolutional neural nets for image classification /
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245 1 0 $a Images as data for social science research $h [electronic resource] : $b an introduction to convolutional neural nets for image classification / $c Nora Webb Williams, Andreu Casas, John D. Wilkerson.
260 $a Cambridge : $b Cambridge University Press, $c 2020.
300 $a 78 p. : $b ill. (some col.), digital ; $c 23 cm.
490 1 $a Cambridge elements. Elements in quantitative and computational methods for social science
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.
650 0 $a Political science $x Research $x Methodology. $3 910357
650 0 $a Image processing $x Digital techniques. $3 532550
650 0 $a Machine learning. $3 533906
650 0 $a Neural networks (Computer science) $3 532070
700 1 $a Casas, Andreu. $3 3480339
700 1 $a Wilkerson, John D. $3 3615863
830 0 $a Cambridge elements. $p Elements in quantitative and computational methods for social science. $3 3615864
856 4 0 $u https://doi.org/10.1017/9781108860741