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Lexalytics® Brings Enterprise-Level NLP and Sentiment Analysis to Social Media and Messaging Apps for Android™
  • USA - English


News provided by

Metz Communications

Apr 06, 2016, 12:05 ET

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By integrating our industry-leading NLP and sentiment analytics into mobile...users will now have access to...insights to improve their lives, while also preserving their privacy.

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Boston, MA (PRWEB) April 06, 2016 -- Lexalytics®, the leader in cloud and on-prem text analytics solutions, announced today that it is launching Salience® for Android™, the first native text analytics package for a mobile operating system. With Salience for Android, application developers can now offer mobile users sophisticated natural language processing (NLP) and analytics to any app that uses text -- email, SMS and chat, reviews, comparison shopping, social media, travel, hospitality and more -- to gain immediate insights and useful information to improve productivity and simplify day-to-day activities. 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.

With Salience for Android, developers can quickly bring to market next-generation apps 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.

“For years, Lexalytics has worked with large enterprise customers, marketing agencies and research firms to extract meaning from unstructured data,” said Jeff Catlin, CEO, Lexalytics. “By integrating our industry-leading NLP and sentiment analytics into mobile, text-based programs and apps like email, social and IM clients, mobile users will now have access to the same types of insights to improve their lives, while also preserving their privacy.”

Built on state-of-the-art machine learning (ML) combined with tightly tuned rules, Salience for Android provides excellent performance in a reasonable footprint. Salience for Android includes the following features to derive meaning and insights from text-based content:
● Named Entity Extraction: Provides a list of who or what is being discussed
● Summarization: Summarizes the most important parts of an email, news story or other text data, so the user can scan and quickly grasp the meaning
● Imperative sentence extraction: Immediately indicates when the user is being asked to do something
● Query-based categorization: Create search queries to easily categorize content into different buckets.

Availability
Lexalytics Salience for Android is available as a Java SDK for Android. Any application with revenue of less than US $5000.00 per month can implement the SDK for free. For more information, please visit https://www.lexalytics.com/salience/mobile.

About Lexalytics®
Processing billions of unstructured documents every day globally, Lexalytics is the industry leader in translating text into profitable decisions. Lexalytics deploys state-of-the-art cloud and on-premise text and sentiment analytics technologies that transform customers’ thoughts and conversations into actionable insights. The on-premise Salience® and SaaS Semantria® platforms are implemented in a variety of industries for social media monitoring, reputation management and voice of the customer programs. Based in Boston, MA, Lexalytics has offices in the US and Canada. For more information, please visit http://www.lexalytics.com, email sales(at)lexalytics(dot)com or call 1-617-249-1049. Follow Lexalytics on Twitter, Facebook, and LinkedIn.

Rebecca Metz, Metz Communications, +1 (512) 560-5211, [email protected]

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