Consumer-Behavior Analyst
Today it's easy for natural language processing technologies to classify the topics and assign sentiment to the individual posts within a stream of social content. It's much more difficult to get beyond binary, positive-or-negative understanding of human intent -- in social comments or in interactive commerce or support interactions. These are among the more subtle capabilities that AlchemyAPI and IBM have both been working on. IBM says AlchemyAPI's deep-learning technology and experience will broaden and advance Watson's capabilities.
"The performance of classification and ranking processes will get better, but they are just the first components of future solutions that seek to predict and individual's purchasing behavior," said Elliot Turner, founder and CEO of AlchemyAPI, in this 2014 interview by natural language processing expert Seth Grimes. "Success in this task will combine other elements such as a person's interests, relationships, geography -- and ultimately their identity, purchase history, and privacy preferences -- so that applications can plot where a person is in their 'buyer's journey' and provide the best offers at the best times."
Cognitive apps won't get there overnight, but AlchemyAPI's vast training corpora and language-processing capacity should improve Watson's learning capacity and, thus, accuracy of understanding over time.
(Image: Geralt via Pixabay)
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