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Deep Learning for Automated Image Content Analysis
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When: 05/24/2019
9:00 AM
Where: Washington Hilton Hotel
Washington, District of Columbia 
United States
Contact: Yair Fogel-Dror

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OrganizersYair Fogel-Dror (primary contact); Andreu Casas

Division/Interest Group Affiliation: Computational Methods Interest Group

DescriptionAs volume and accessibility of media content have been increasing throughout recent years, computational methods for content analysis at scale have gained their popularity and proved their importance for current communication studies. Until recently, these studies limited their use of computational methods to text analysis. As a result, current innovations and developments in the field of deep learning for computer vision, or automated image content analysis, remained unfamiliar and inaccessible for most communication researchers. This preconference workshop is aimed to bridge this gap, by providing a brief theoretical background along with a hands-on experience deep learning for computer vision methods. Specifically, and in line with the common use-case in computational text analysis, the focus of the workshop would be on feature extraction and image classification.

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