GumGum’s Groundbreaking Contextual Analysis Solution for Digital Publishers Makes Official Debut
Summary
The product – which analyzes the full publisher content of web pages, including images, where other contextual offerings available today only scan text and metadata – had previously been available only through a limited early release program. GumGum’s CEO, Phil Schraeder, shared the news with a select audience of top-tier publishers during an invite-only GumGum event in Las Vegas at last week’s Consumer Electronics Show. Built around GumGum’s proprietary computer vision and natural language processing deep learning systems, Verity offers the most granular, content-level insight to digital publishers wanting to maximize the value and utility of their ad inventories by expanding available contextual categories and identifying brand suitability and safety concerns. “Looking ahead to a cookieless future, we saw that publishers would need greater insights about their content to facilitate the potent, safe contextual targeting experiences that will drive revenue,” Schraeder explained. Sentiment analysis algorithms allow Verity to capture attitudes, opinions and emotions expressed online, adding an additional layer of insight to its brand safety and contextual evaluations.
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