TY - BOOK
T1 - Images as Data for Social Science Research
T2 - An Introduction to Convolutional Neural Nets for Image Classification
AU - Webb Williams, Nora
AU - Casas Salleras, Andreu
AU - Wilkerson, John
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
UR - https://www.cambridge.org/nl/academic/subjects/politics-international-relations/political-theory/images-data-social-science-research-introduction-convolutional-neural-nets-image-classification
UR - https://www.scopus.com/pages/publications/85191777276
UR - https://www.scopus.com/inward/citedby.url?scp=85191777276&partnerID=8YFLogxK
U2 - 10.1017/9781108860741
DO - 10.1017/9781108860741
M3 - Book
SN - 9781108816854
T3 - Elements in Quantitative and Computational Methods for the Social Sciences
BT - Images as Data for Social Science Research
PB - Cambridge University Press
CY - Cambridge
ER -