Machine Learning Finds Nuances In Social Text, Images To Finely Target Ads

Engineers at the machine learning startup indico have been working to develop ad-targeting technology that let brands mine social media data and images in Facebook and Twitter, with Pinterest forthcoming, to gain greater insights about consumers. While it’s relatiely easy for marketers to analyze someone’s social media text and image history to quickly tell what activities a person likes, identifying his or her brand preferences, deep machine learning provides an entirely different level of sophistication, speed and scale. Researchers at Indico use unstructured data, or “dart data,” to  interpret signals around text, images, sentiment and personality types, so marketers can gain a better understanding of consumers to refine ad budgets. Slater Victoroff, indico CEO, found it possible to intuit emotions from text and images in Facebook to use as ad-targeting…


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