In this follow-on post, we focus on data analysis and discuss co-occurrences of tags in images, and present an example of a co-occurrence network that represents a kind of "mental model" of SAGE journal images derived from the tags.

At SAGE, we recently asked the question how could Cloud Vision APIs be applied to support scholarly publishing? For example, can they be used for new products or product features, to improve the editorial workflow, or to otherwise enhance SAGE operations or quality of life?