Lexalytics brings NLP and Sentiment Analysis to Social Media Apps for Android

Lexalytics 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.