Title Images as data for social science research : an introduction to convolutional neural nets for image classification / Nora Webb Williams, Andreu Casas, John D. Wilkerson

Published Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2020

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Description 1 online resource Series Cambridge elements. Elements in quantitative and computational methods for the social sciences Elements in quantitative and computational methods for social science. Summary 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 Bibliography Includes bibliographical references Notes Online resource; title from digital title page (viewed on August 04, 2020) Subject Political science -- Research -- Methodology Image processing -- Digital techniques. Machine learning. Neural networks (Computer science) Neural Networks, Computer Machine Learning digital imaging. Image processing -- Digital techniques Machine learning Neural networks (Computer science) Political science -- Research -- Methodology Form Electronic book Author Casas, Andreu, author. Wilkerson, John D., author ISBN 9781108860741 1108860745

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