Lexalytics Deploys Natural Language Processing and Analytics Tool on Android

Lexalytics, a provider of cloud and on-premise text analytics solutions, is launching Salience for Android, a native text analytics package built on machine learning. “This is our first foray into the mobile world,” said Seth Redmore, chief marketing officer. “This is the kind of functionality that folks are looking for to provide inside of their apps. Your device, in a way, is an extension of your mind, memory, and social life. How we can help that device be a better extension of you is really what we’re trying to accomplish by helping you understand what’s going on in the world around you.”

With Salience for Android, application developers can now offer mobile users natural language processing and analytics for any app that uses text, including email, SMS and chat, reviews, comparison shopping, social media, travel, and hospitality, so they can gain insights and useful information to improve productivity and simplify day-to-day activities. “The technology itself is high-grade with a lot of functionality in a fairly small package,” Redmore said. “We’re looking to encourage developers to use it.”

By providing native text analytics, all processing stays local on the phone so analysis results never go back to the cloud, ensuring end-user privacy, according to the vendor. “There’s a lot more concern about privacy and security nowadays and your phone has become a convergence point for different streams of information so there are advantages to having the technology directly on your phone,” Redmore said.

With Salience for Android, developers can bring next-generation apps  to market with functionality such as immediately alerting a user about an email or post that is especially negative and incendiary, or positive and praiseworthy; displaying a daily summary of emails from important contacts; providing a list of any to-do’s throughout the day, week or month; summarizing the latest information in the sports world from a favorite team; removing politics-related content -- or any content the user might want stricken from their social feed; highlight buzz-worthy events taking place in the upcoming weekend; warning users when they’re about to send out a text they may regret later; and much more. 

Other features include named entity extraction, summarization, imperative sentence extraction, and query-based categorization.

Users that are getting a lot of information from many different sources, want to summarize things on a small screen, and who are very mobile-centric will benefit the most from this, according to Redmore.

 “For an individual user what we are doing is squeezing the juice out and then straining the most interesting bits for you,” Redmore said. “The more information you are trying to consume and sort of the more sources you’re consuming it from, the more we can do for you.”

For more information about Salience for Android, visit www.lexalytics.com.  

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