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Where to look for love (or a hookup) according to AI

After hearing one too many bad-date stories here in the office (note from the author: mostly supplied by myself), we turned to our software to solve the debate once and for all… which dating apps are the best, and which should be avoided? To tackle the question, we used Luminoso Analytics to analyze 107,379 reviews of … Read more

When “wicked” means “good”

Pop quiz! The definition of the word “wicked” is: If you answered “4,” you just earned yourself a virtual high five. Congratulations! For the rest of us, this is a great chance to think about how regional dialects and even cultural differences can affect how we understand and analyze text-based feedback. (It’s also an excellent opportunity … Read more

Conducting analyses in a changing science landscape

This week’s blog post was written by Cassie Johnson, Vice President of Customer Success and Services at Luminoso. My colleague Dmitry Grenader recently wrote an article about AI and machine learning and our relationship with it.  Specifically, he ended his post exhorting his readers to: Work with the machine. Seriously, tell your colleagues to treat it … Read more

Catherine Havasi featured in Inc.

One of the key challenges facing customer-centric companies today is how to make sense of the ever-increasing stream of feedback and other consumer data. For many, the solution is to incorporate natural language understanding (NLU) into their processes – but this technology is new and unfamiliar for many. This article by Inc. investigates how companies … Read more

AI for a multilingual world

In advance of her presentation at the Big Data Analytics conference in Tokyo, Japan on February 7-8, 2017 (which you’re coming to… right?), our CEO Catherine Havasi sat down with the folks at Basis Technologies to talk about artificial intelligence and how it will work in a multilingual world. In this short  video, Catherine discussed the power … Read more