by Angela Guess
According to a recent press release, “Lexalytics, the leader in ‘words-first’ machine learning and artificial intelligence, announced today the launch of Lexalytics AI Assembler, a new machine learning platform that simplifies and accelerates the process of gaining insights from the large quantity of natural language data inundating the enterprise. Lexalytics is also launching a limited-availability beta release of Semantria Storage & Visualization, a content storage, aggregation, search and reporting framework that provides business analysts and marketers a single access point to interact with their data.”
The release goes on, “Lexalytics has been a pioneer in natural language processing (NLP) and text analytics, delivering the world’s first commercial sentiment analysis engine in 2004, the world’s first Twitter/microblog-specific text analytics in 2010 and the world’s first commercial semantic analytics based on Wikipedia in 2011. Lexalytics has experimented with tens of thousands of models to feed its text and sentiment analysis platforms, launching machine learning-based named entity extraction in 2008 and the world’s first unsupervised ML model for syntax analysis in 2014. Today’s announcement is a direct result of years of internal research and development coupled with the work coming out of its Magic Machines™ AI Labs, a partnership among Lexalytics, the University of Massachusetts Amherst’s Center for Data Science and Northwestern University’s Medill School of Journalism, Media and Integrated Marketing Communications.”
Read more at lexalytics.com.
Photo credit: Lexalytics