What to expect from your emotion recognition software Part 2

In part one of our series, we compared sentiment analysis to emotion recognition in order to show the differences between the two approaches. We’re back to do another comparison and talk a little about the methodologies and how they differ. First, a quick refresher: Sentiment analysis categorizes and analyzes text to determine if the writer’s […]

Using emotion recognition models to find emotion Pt 2

Last week we discussed the VERN emotion recognition model. We talked about how the world doesn’t have a clear idea of how many emotions there are, what they are, and how the heck they can even be detected. We provided some clarity on our model and how it relates to finding emotion in communication. Today […]

Using emotion recognition models to find emotion

Last week we compared sentiment analysis to emotion recognition software, using VERN. We saw that sentiment analysis rated content as “positive,” “negative,” “neutral,” and “mixed.” Some software rated content with a magnitude, indicating the strength of the “positive,” “negative,” “neutral,” or “mixed.” In some cases, it is accurate. In others, it was not. Emotion recognition looks […]

What to expect from your emotion recognition software

Emotion recognition software like VERN looks for emotional clues in text. What people say, or write down and send to one another, through emails or chats or text messages often contain emotions. Not just strictly sentiment, but the emotions that we are familiar with and would recognize someone expressing them. Those that are familiar with […]

Howdy from the Tech Team!

While the marketing folks and communications scientists are off doing their respective thing, we thought you might enjoy a brief behind-the-scenes peek at the sorts of things that we’re doing to make VERN awesome to use. Specifically, we’re going to talk about VERN integration, brag a bit about speed, and we’ll talk a bit about […]

The proof is in the pudding

We’ve spent a lot of time talking about how V.E.R.N. can work to detect emotion, and different ways in which it can aid technology to build the future of interactions. We thought that for this blog post, we’d actually show you a few examples from various sources. Because, you know, seeing is believing. You’ll see […]

Dr. VERN will see you now…

As many as 1 in 5 adults suffer from some form of mental illness.[i] Nearly one-third of all mental health related office visits are handled by primary care physicians, according to a CDC study in 2019.[ii] That’s if people seek help. Nearly one half (43%) didn’t receive any treatment. All three of those statistics were […]

Chatbot…or anger machine?

Chatbot…or anger machine?   Customers are at the heart of every business. There is nothing more frustrating for the average customer than having to navigate some company’s automated support and messaging system. When each process “has to be” funneled through an AI empowered chatbot, to customer service representatives, all while distinctly feeling herded and managed, […]

Meet V.E.R.N. AI

Imagine you are on a date and you lean in for the first kiss, and the object of your affection says to you: “I positive you so much! I negative without you. My life before you I felt so mixed, so neutral. Now I see positive all over the place!” Sounds pretty absurd, doesn’t it? […]

V.E.R.N. is mentioned in Fintech publication

Finopotamus, a fintech blog recently interviewed our friend Ben Maxim, who is our honored partner and client at Michigan State University Federal Credit Union. Ben mentioned several initiatives at the credit union, and he brought up our project and how we are helping the Credit Union in their mission. V.E.R.N. can help you in your […]

V.E.R.N. emotional recognition AI enables system understanding of human emotions.

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