Cantitate/Preț
Produs

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

Autor Nora Webb Williams, Andreu Casas, John D. Wilkerson
en Limba Engleză Paperback – 12 aug 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.
Citește tot Restrânge

Din seria Elements in Quantitative and Computational Methods for the Social Sciences

Preț: 14045 lei

Nou

Puncte Express: 211

Preț estimativ în valută:
2689 2799$ 2214£

Carte tipărită la comandă

Livrare economică 01-15 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781108816854
ISBN-10: 1108816851
Pagini: 75
Ilustrații: 32 b/w illus.
Dimensiuni: 151 x 225 x 5 mm
Greutate: 0.13 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Elements in Quantitative and Computational Methods for the Social Sciences

Locul publicării:New York, United States

Cuprins

1. Introduction; 2. Prerequisites for computer vision methods and tutorials; 3. Introduction to CNNs for social scientists; 4. Overview of fine-tuning a CNN classifier for images; 5. Political science working example: images related to a Black Lives Matter protest; 6. The promise and limits of autotaggers; 7. Application: fine-tuning an open source CNN; 8. Legal and ethical concerns in using images as data; 9. Conclusion; 10. References.

Descriere

An introduction to how object and facial recognition, and visual sentiment analysis, can be used to process images as data.