Three reasons why you need V.E.R.N.
Real TimeIntegrate V.E.R.N. for instantaneous analysis wherever you need to know how people are feeling.
Sentence Level AnalysisAnalyze each sentence for emotion, and find exactly how your users feel.
Actionable ResultsGet "Anger," "Sadness," and other emotions not just positive, negative, neutral or "mixed." Get started immediately, no need for the model to "learn."
What can V.E.R.N. do for you?
Real-time communications analysis with emotional intelligence
Do you want to know what your clients feel about you? Would you like to get this information as it happens? V.E.R.N. removes a delay between data collection and execution.
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get real-time results for your communications software. Get all of the emotions we track and the latest updates to ensure the most accurate analysis. You'll love to use our dashboard to create and set initiatives, and monitor the emotion in your user's communication.
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Enable V.E.R.N. for your ModelOps. Secure system solutions enable use of V.E.R.N. in sensitive use cases. Our AI Marketplace partners offer V.E.R.N. in an easy-to-use solution.
Domain and Personal level analysis
Users aren't all the same. A plumber and a podiatrist speak a slightly different language. We'll work with your company to create custom framing to enable your analysis to even greater accuracy.
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 […]
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 […]
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 […]
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 […]
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 […]