As we approach the end of an extraordinary year, the Luminoso research team shares their predictions for AI in 2021.

Learn about basic approaches to understanding emotion in text, and why concept-level sentiment is a critical tool leading global brands.

Today on the blog, an interview with Vanya Cohen, AI research scientist and machine learning engineer.

AI can only learn from people, often adopting harmful tendencies. Read on to learn the importance of addressing bias in AI systems.

We talk a lot about how Luminoso can "natively process" text data in multiple languages ... but what does that mean?

Top-notch CX goes beyond great service. It means focusing your entire organization on meeting needs – by acting on customer feedback.

Chief science officer Robyn Speer discusses the impact bias has on AI systems, and, more importantly, what we can do to mitigate it.

February 2017 was an exciting month for Luminoso. Read this blog to learn about our participation in SemEval 2017.

Which dating apps are the best, and which should be avoided? We put our AI to the test.

As organizations expand their global reach, understanding customers becomes increasingly important ... and challenging.

Science and technology are changing every day. Here's how to evolve with it.

In advance of the Oscar nominations announcement, we used text analytics to predict winners.

We're excited to announce that our software, which incorporates word embeddings, can be run on a Raspberry Pi.

Luminoso Technologies, Inc. is featured in O'Reilly's annual landscape of machine intelligence companies.

Learn why it's time to embrace artificial intelligence and machine learning.

Here at Luminoso, we’re constantly researching new ways to help our clients more quickly, easily, and accurately analyze their text data.

Better manage the impact of scientific breakthroughs and technology advances on your business.

Our Senior Linguistics Developer breaks down how we added Arabic to the list of languages which Luminoso natively analyzes.

In this blog, we explore a more optimistic approach to artificial intelligence.

We made a visualization that shows what people call colors, happy names versus sad names, and edible names.