Tags » Natural Language Understanding

A little #tbt to how Luminoso's been recognized this year

It’s only May, but we’ve had a super busy year here at Luminoso! The most exciting aspect of the past few months has been receiving a number of awards and other forms of recognition from some truly fantastic organizations. 53 more words

Natural Language Understanding

TechEmergence highlights how GSK used Luminoso to adjust marketing messaging

You can download the full case study here.

TechEmergence, an artificial intelligence market research firm, helps companies and institutions gain insight on the applications and implications of AI and machine learning technologies. 127 more words

Natural Language Understanding

Upcoming webinar! Using AI to understand your customers: advice for the gaming industry

You incorporate the latest technology to build great games –  but are your feedback analytics equally cutting-edge? Join Luminoso Technologies on May 11 at 1pm ET / 10am PT… 82 more words

Natural Language Understanding

[White Paper] Making the switch to real-time analytics

You can download the white paper here.

Going from sporadic batch data processing to streaming, real-time data analytics is much easier said than done. Acquiring and setting up streaming tools is the easy part. 107 more words

Natural Language Understanding

[Case Study] Uncovering the link between employees and customers

You can download the case study here.

It probably comes as no surprise to you, or anyone, that there’s a link between how happy your employees are and how satisfied your customers are, especially in service-oriented industries. 358 more words

Natural Language Understanding

Surveys: Time for a major upgrade

This article was originally published by Customer Experience Magazine on February 8, 2017. It was written by Eric Pendleton, our awesome Product Training Manager. You can read the original article… 781 more words

Natural Language Understanding

You haven't seen airline rankings like these before

Way back in 2014, we used our products Analytics and Compass to collect and analyze over 157,000 tweets about five major US-based airlines in order to see what people liked and disliked about them all. 455 more words

Natural Language Understanding