Our Semantria SaaS text analytics API can now be deployed wherever you need depending on your privacy, security and scalability requirements.
Context Analysis in NLP: Why It’s Valuable and How It’s Done
on
12 m
Context analysis in NLP involves extracting n-grams, noun phrases, themes, and facets. This article explains the value of context and how we extract it.
Improve Your Hospitality Analytics with Text Analytics & NLP
on
4 m
Hospitality analytics with text analytics and natural language processing (NLP) transforms customer feedback into revenue through useful data and insights.
ADHD: Disorder, Treatment and Perception
on
5 m
Our COO, Tim Mohler, stops by the blog to discuss how text analytics is used in pharmaceuticals and healthcare. In this case, it’s a powerful tool used to demystify the symptoms and treatment of ADHD. Dig and learn how unique groups of people experience and treat ADHD differently.
AI Maintenance is Critical
on
2 m
Getting an AI system up and running is only half the battle. In this feature on KDnuggets, Paul Barba explains why AI requires maintenance to succeed.
AI Automation Armageddon: Fact or Fiction?
on
3 m
Job losses to AI automation may be as high as 47 percent, some analysts predict. But how accurate are these warnings? Let’s look at the data.
The Definitive Data-Driven Airport Ranking List
on
16 m
It’s hard to find consensus when it comes to airport rankings. Slideshows here, listicles there — it’s always a matter of conjecture and PR. That’s why the Lexalytics marketing team set out to define the definitive, data-driven ranking of America’s 10 busiest airports. Use this as a resource when planning all your travel and layovers.
Don’t Crash and Burn with Your Chatbots
on
5 m
Chatbots have made the leap from fun toy project to cutting-edge business proposition. Here are some best practices to make your chatbot succeed.
Artificial Intelligence for Disaster Relief: A Primer
on
4 m
Artificial intelligence and machine learning can help to improve disaster relief programs by quickly processing large volumes of complex, fragmented data.
A Brief History of Unicorns in Culture and Technology
on
6 m
From Pliny to Palo Alto, join us as we trace the history of unicorns from ancient times all the way through to their modern reinterpretation.
Airport Series: LAX and Mastering the Final Mile
on
6 m
See how we used natural language processing to analyze a massive set of LAX airport reviews, revealing some big problems with traffic infrastructure.
Research: Context
on
16 s
Our Chief Scientist, Paul Barba, introduces a paper from his fellow Lexalytics researchers. The subject matter details how machines might be taught to understand context within natural language.
Or call us at 1-800-377-8036