Nora Webb Williams (Urbana-Champaign University of Illinois), Andreu Casas (Amsterdam Vrije Universiteit), John D. Wilkerson (University of Washington)

Images as Data for Social Science Research

An Introduction to Convolutional Neural Nets for Image Classification

• Broschiertes Buch

Produktbeschreibung

Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance and instruction for scholars interested in using these methods in their own research.

Produktdetails

• Elements in Quantitative and Computational Methods for the Social Sciences
• Verlag: Cambridge University Press
• Seitenzahl: 75
• Erscheinungstermin: 13. August 2020
• Englisch
• Abmessung: 225mm x 151mm x 6mm
• Gewicht: 142g
• ISBN-13: 9781108816854
• ISBN-10: 1108816851
• Artikelnr.: 59990302

Inhaltsangabe

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.