Interesting ideas implied here, but not proven, We worked on two kinds of 'emotion' Detecting emotion in consumer reactions, then classifying and determining its strength. Also embedding it in bot style interactions with consumers, in context, and also classifying that interaction and strength. Could 'style' be considered a kind of classification of use here? I like the direction suggested, though hard to see how useful it might be. Powerful potential idea in sales and marketing.
Expert.ai adds emotion and style detection tools to natural language API By Damon Poeter in Venturebeat May 10, 2021
Enterprises and investors are increasingly excited about using natural language (NL) processing to assist in tasks like data mining for sales intelligence, tracking how marketing campaigns change over time, and better defending against phishing and ransomware attacks.
Still, AI products using natural language engines to analyze text have a long way to go to capture more than a fraction of the nuance humans use to communicate with each other. Expert.ai hopes the addition of new emotion- and behavior-measuring extensions and a new style-detecting toolkit for its natural language API will provide AI developers with more human-like language analysis capabilities. The company this week announced new advanced features for its cloud-based NL API designed to help AI developers “[extract] emotions in large-scale texts and [identify] stylometric data driving a complete fingerprint of content,” Expert.ai said in a statement.
Based in Modena, Italy and with U.S. headquarters in Rockville, Md., Expert.ai changed its name from Expert System in 2020. The company’s customers include media outlets like the Associated Press, which uses NL software for content classification and enrichment, business intelligence consultants like L’Argus de la Presse, which conducts brand reputation analysis with NL processing, and financial services firms like Zurich Insurance, which uses Expert.ai’s platform to develop cognitive computing solutions.
Freeing people up for higher-order tasks
Expert.ai’s software platform enables natural language solutions that take unstructured language data from sources like social media sites and emails, transforming it into more digestible, usable intelligence before human analysts look at it. An example of a basic NL capability would be to distinguish between different ways a word like “jaguar” is used contextually—-to signify the animal, the vehicle, or the name of a sports team. This allows for process automation steps to be introduced to text gathering, categorization and analysis workloads, freeing up human analysts to perform higher-order tasks with the data.... " ... '
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