Nora Webb Williams,
Nora (University of Illinois, Urbana-Champaign) Webb Williams,
Andreu Casas,
Andreu (Vrije Universiteit, Amsterdam) Casas,
John D. Wilkerson,
John D. (University of Washington) Wilkerson
e.a.
Images as Data for Social Science Research
An Introduction to Convolutional Neural Nets for Image Classification
Paperback Engels 2020 9781108816854Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9781108816854
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:75
Uitgever:Cambridge University Press
Serie:Elements in Quantita
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
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.
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- communicatie en media
- economie
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- internet en social media
- it-management / ict
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