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> Based on the machine learning powering Project Feels, nytDEMO has launched perspective targeting as a new ad product. Perspective targeting allows advertisers to target their media against content predicted to evoke reader sentiments like self-confidence or adventurousness.

> nytDEMO will also soon launch Readerscope, an AI-driven data insights tool that summarizes what The Times audience is reading using anonymized data to visualize who is interested in which topics and where they are.

> Readerscope can be used as a content strategy tool to develop creative ideas for branded content or campaigns by searching a brand’s target audience segment (e.g., millennial women) to understand what they're reading, either as topics or as representative articles exemplifying those topics. It can also help brands find the right audience or geography for a certain message by searching a topic (e.g., human rights, philanthropy or travel ) and seeing which audience segments over-index for interest about that subject. Topics are algorithmically learned from The New York Times article archive using state of the art natural language processing, and all of the reader segments are targetable with media on NYTimes.com.




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