Google has announced two updates to its Natural Language AI, making the platform more attractive to brands and media companies that frequently need to analyse language to better their content and services.
The first major addition is the ability to tag related content inline with more than 700 topics such as health, entertainment and law. It will help publishing companies organise their vast amounts of content, making it more discoverable and allow for better analysis.
"In the newsroom, precision and speed are critical to engaging our readers," Naveed Ahmad, senior director of data at Hearst said. "Google Cloud Natural Language is unmatched in its accuracy for content classification.
"At Hearst, we publish several thousand articles a day across 30+ properties and, with natural language processing, we're able to quickly gain insight into what content is being published and how it resonates with our audiences."
The second major addition is sentiment analysis, which enables brands to work out what their customers feel about them by analysing the language used across places and things, identifying individual words that could be related to a feeling rather than large blocks of text as was previously the case.
"Motorola analyses customer sentiment about its products across multiple sources such as Twitter, online community forums, and customer service emails," Apoorv Saxena, product manager of Cloud AI at Google said.
"The insight helps Motorola quickly turn feedback into actionable results and increase customer satisfaction. Motorola uses Cloud Natural Language alongside its in-house natural language algorithms to get richer, more granular understanding of its customers to better serve them."
Both additions are now available for all Cloud Natural Language users.
