Press Releases

Boston, MA, July 8, 2016 — Lexalytics®, the leader in cloud and on-prem text analytics solutions, today announced that Chief Marketing Officer Seth Redmore will present: “Natural Language Machine Learning: A Method and a Challenge to our Industry Competitors, Partners, and Friends” at the Sentiment Analysis Symposium in New York on July 11. While Machine Learning has the potential to positively impact every aspect of a business, access to date has been very limited. Seth will discuss the critical industry need for the machine learning industry to develop a more broad, user-friendly method of interacting with machine learning, asserting that words (natural language) are the easiest for a user to comprehend.

What: “Natural Language Machine Learning: A Method and a Challenge to our Industry Competitors, Partners, and Friends” at the Sentiment Analysis Symposium in New York

Who: Seth Redmore, Chief Marketing Officer, Lexalytics With over 20 years of combined experience in product management, marketing, text analytics and machine learning, Seth is currently the CMO of text analytics leader Lexalytics. Prior to this role, Seth held executive positions at both hardware and software companies, including co-founder of Netiverse (acquired by Cisco Systems). During his tenure at Cisco, Seth built the company’s first internal text analytics solution for reputation management. Seth has a degree in Chemistry from Carnegie Mellon University

When: Tuesday, July 12, 2016 at 10:20 a.m. ET

Where: Fordham University’s Lincoln Center Campus, Leon Lowenstein Center, Pope Auditorium, 113 W 60th Street, New York, NY Why: The Sentiment Analysis Symposium is the first conference to address the business value of sentiment, opinion, emotion, and intent in online, social and enterprise data. Its audience is comprised of business analysts, developers, researchers, and solution providers. The July 12 conference program offers a slate of technology, solution, and business presentations; the optional half-day July 11 tutorial provides an in-depth technical introduction. For more information, visit http://sentimentsymposium.com/schedule.