portada 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) (en Inglés)

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) (en Inglés)

Formato

Libro Físico

Autor

Nora Webb Williams

Andreu Casas

John D. Wilkerson

Editorial

Cambridge University Press

Idioma

Inglés

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.5 cm

Peso

0.13 kg.

ISBN13

9781108816854

Categorías

Ciencias políticas y teoría

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) (en Inglés)

Nora Webb Williams (Autor) · Andreu Casas (Autor) · John D. Wilkerson (Autor) · Cambridge University Press · Tapa Blanda

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Reseña del libro "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) (en Inglés)"

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.