Other highlights include industry recognition for leadership in NLP healthcare solutions

Cambridge, UK & Boston, USA – January 25th, 2017 –Text analytics provider Linguamatics today announced that 2016 represented one of the company’s most successful years ever, further positioning the organization as the leading provider of Natural Language Processing (NLP) text mining solutions for healthcare and the life sciences. Highlights from the past year include the highly-anticipated I2E 5.0 release; the addition of further high-profile customers and strategic partners; and industry recognition from leading research firms KLAS, Forrester and Frost & Sullivan.


I am pleased to announce that the Linguamatics Community is now open for registration for all Linguamatics I2E users.

Peer-to-peer support and networking forum - discuss the software, as well as share queries and scripts.

Share I2E best practices - through forums, articles, blogs, videos, and presentations. You can find over a hundred Hints and Tips posts, how-to video tutorials, and customer case studies.

https://community.linguamatics.com/

Download Linguamatics software, resources and technical documentation - content previously accessed on I2Edia and the Download Site is being migrated to the Community, so your login gives access to everything you need from Linguamatics.

SIGN UP NOW


Innovative ETL (Extract, Transform, Load) technology frees 80% of unstructured data trapped in Data Lakes, enabling high-value knowledge discovery and decision support

Cambridge, UK & Boston, USA – 30th November, 2016 – Text analytics provider Linguamatics today released the latest version of their award-winning natural language processing (NLP) text mining platform, I2E 5.0.

Game-changing capabilities in I2E 5.0 include normalization of concepts (e.g. dates, measurements, gene mutations) within unstructured text, advanced range search and a new query language EASL. These capabilities tackle the variety in big data, and accelerate insights from unstructured, semi-structured and structured data sources.

Normalization and range search helps users find key information (e.g. a particular temperature or a range of temperatures) in unstructured text sources regardless of how the information is expressed, and boosts ETL operations by identifying, extracting and standardizing data. Given that around 80-90% of big data is unstructured, these new text mining capabilities allow huge amounts of data to be processed that previously had to be read manually.


Press Release: Natural Language Processing (NLP) to Optimize Clinical Trials: I2E Hackathon at the Linguamatics Text Mining Summit - Using text mining to address healthcare information challenges


BOSTON, MA and NEW YORK, NY--(Marketwired - October 18, 2016) - Linguamatics, a world leader in NLP Text Mining, and Sinequa, a leader in Cognitive Search and Analytics, today announced a partnership based on a tight integration between I2E and Sinequa ES. This integration will provide life sciences and healthcare organizations with deeper insights from their ever-increasing volumes of enterprise unstructured textual data content across the entire enterprise.

Linguamatics' I2E text mining platform enhances the Sinequa Cognitive Search & Analytics platform with its advanced text mining capabilities, providing an unparalleled foundation to build upon in life sciences. The combined strength of both platforms helps users get more precise, actionable and contextual information in their field. They can ask questions such as "what treatments are used for breast cancer?" or "what diseases are treated by drug X?"