Head of marketing, Seth Redmore discusses the latest features in Salience’s newest release, 5.1.1, as well as Lexalytic’s goals for future developments and improvements. Seth begins by discussing the newest capabilities of Salience 5.1.1 including emoji identification, HTML ingestion, and automatic category identification, available in many different languages, including Spanish and Chinese.
Seth proceeds to take a look at tentative 5.2 development ideas and focus areas. A big goal for future releases is improving Salience’s ability to accurately process short, “noisy” text, like tweets, for which standard text analytic tools don’t always measure up. He also discusses features that would give Salience a more immediate, out of the box utility, like context dependent sentiment and implementing “intent”.
Watch Seth’s talk for more on what’s in the works here at Lexalytics.
Seth Redmore has over 15 years of experience in product management and 10 years of experience in text analytics – from the perspective of a user as well as a vendor. Seth has worked in a number of executive roles at both hardware and software companies, including co-founding Netiverse (who built a high-speed server load balancing system) which was bought by Cisco Systems in 2000. While at Cisco, he worked in a variety of product management and product marketing roles, culminating in building Cisco’s internal text analytics solution for reputation management (using Lexalytics’ software engine at its core). Seth has a degree in Chemistry from Carnegie Mellon University.