Bottlenose Secures 7th U.S. Patent for Natural Language Processing and Trend Detection for Microcontent

News provided by

Jones-Dilworth, Inc.

Apr 05, 2016, 10:00 ET


LOS ANGELES (PRWEB) April 05, 2016 -- Bottlenose, the smart data discovery company, today announced the issuance of a patent that covers technologies the company has developed for machine-based content analysis and sentiment tracking of microcontent using natural language processing. This patent represents the 7th patent issued to Bottlenose by the U.S. Patent and Trademark Office (USPTO).

The new patent, issued on April 5, 2016, broadly covers Bottlenose’s ability to apply NLP to social data, including for sentiment analysis, topic detection, co-occurrence graphing, and trend detection.

“Our latest patent for technology developed in our Nerve Center platform further demonstrates that Bottlenose is the leader in the smart data discovery,” said Nova Spivack, CEO and Founder of Bottlenose, Inc. “Our growing patent portfolio not only positions us at the leading edge of the industry, it demonstrates to customers that Bottlenose provides a sustainable competitive advantage.”

Bottlenose’s patent portfolio collectively covers the company’s proprietary technologies including natural language processing, user sentiment analysis, trending topic analysis and other key components of business intelligence and smart data analytics.

Bottlenose’s Nerve Center platform includes a core cognitive computing engine, plus developer and data science tools, and a customizable end-user data discovery application that’s easy and intuitive enough for anyone to use. The technology ingests, enriches, analyzes, and visualizes trends in stream data, illuminating emerging relationships and patterns with astonishing speed. Bottlenose analyzes over 72 billion records each day, allowing Fortune 1000 customers to detect trends, threats and opportunities in vast amounts of unstructured and streaming data.

Bottlenose’s complete portfolio of issued patents include:

  • USP 9,304,989 – ‘Machine-Based Content Analysis and User Perception Tracking Of Microcontent Messages ‘
  • USP 8,832,092 – 'Natural Language Processing Optimized for Microcontent'
  • USP 8,938,450 – 'Natural Language Processing Optimized for Microcontent'
  • USP 9,009,126 – 'Discovering and Ranking Trending Links about Topics'
  • USP 8,990,097 – 'Discovering and Ranking Trending Links about Topics'
  • USP 8,762,302 – 'System and Method for Revealing Correlations Between Data Streams'
  • USP 8,909,569 – 'System and Method for Revealing Correlations Between Data Streams'

The company has an additional 4 international patents and 8 U.S. and international patents pending. To learn more about Bottlenose’s patented technology, visit: https://bottlenose.com/.

About Bottlenose

Bottlenose provides a new form of business intelligence for enterprises by analyzing stream data: we call this Stream Intelligence™. Our patented smart data discovery platform continuously analyzes streams of data to detect emerging trends, threats and opportunities.

The company’s flagship product, Nerve Center®, provides a SaaS solution for enterprise analysts and strategists to monitor and understand the internal and external threats and opportunities affecting their business in real-time.

Bottlenose was founded in 2010 by serial entrepreneur Nova Spivack and big data technologist, Dominiek ter Heide. Bottlenose has offices in Los Angeles and New York City.

Learn more about Bottlenose here: http://bottlenose.com/.

Doug Freeman, Jones-Dilworth, Inc., +1 512-826-7674, [email protected]