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Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification (Elements in Quantitative and Computational Methods for the Social Sciences)
Nora Webb Williams
(Author)
·
Andreu Casas
(Author)
·
John D. Wilkerson
(Author)
·
Cambridge University Press
· Paperback
Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification (Elements in Quantitative and Computational Methods for the Social Sciences) - Webb Williams, Nora ; Casas, Andreu ; Wilkerson, John D.
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Synopsis "Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification (Elements in Quantitative and Computational Methods for the Social Sciences)"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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