Muutke küpsiste eelistusi

Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification [Pehme köide]

(University of Washington), (Vrije Universiteit, Amsterdam), (University of Illinois, Urbana-Champaign)
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.

Muu info

An introduction to how object and facial recognition, and visual sentiment analysis, can be used to process images as data.
1 Introduction
1(10)
2 Prerequisites for Computer Vision Methods and Tutorials
11(3)
3 Introduction to CNNs for Social Scientists
14(10)
4 Overview of Fine-Tuning a CNN Classifier for Images
24(14)
5 Political Science Working Example: Images Related to a Black Lives Matter Protest
38(3)
6 The Promise and Limits of Autotaggers
41(9)
7 Application: Fine-Tuning an Open-Source CNN
50(13)
8 Legal and Ethical Concerns in Using Images as Data
63(5)
9 Conclusion
68(1)
10 Data Availability Statement
69(1)
References 70