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."
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.
Connect direct to V.E.R.N.
Connect through our API and
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.
Get V.E.R.N. from an AI Marketplace
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.
How VERN gets the feels-The differences between sentiment analysis and emotion recognition. Pt. 4 of 4
In part 4 and the final video of our four part series, VERN CEO Craig Tucker brings it all back together: How this all fits in the model VERN uses to detect emotions. Through contextual clues, frames of reference and moderating by the personal frame VERN is able to detect emotions. Craig illustrates the power […]
This week VERN CEO Craig Tucker spoke with Editor-In-Chief Derek Little of Technology Blazers Club about the genesis of VERN and how it works to separate itself from the limitations of sentiment analysis in the market today. https://technologytrailblazers.club/emotion-recognition-how-chatbots-can-get-a-sense-of-humor/ The podcast started off with Mr. Tucker giving his background in communications and computer science and specifically […]
(East Lansing, MI) VERN Health, a subsidiary of The Virtual Emotion Resource Network, LLC has been selected to the 2021 XLerateHealth accelerator! The XLerateHealth (XLH) mission is to cultivate and grow impactful healthcare innovation in the Midwest, Southeast and other areas of the country where great innovation often goes unrecognized and underfunded. Founded in 2012, […]
How VERN gets the feels-The differences between sentiment analysis and emotion recognition. Pt. 3 of 4
In part 3 of our four part series, VERN CEO Craig Tucker answers some objections to emotion recognition and VERN’s process. He discusses intent, and proposes that intent should be measured not by the sender, but instead by the receiver. Craig discusses the problems with facial recognition and voice inflection systems claiming to detect emotion, […]
How VERN gets the feels-The differences between sentiment analysis and emotion recognition. Pt. 2 of 4
In part 2 of our four part series, VERN CEO Craig Tucker talks about how VERN’s model of emotions follows neuroscientific findings of the three affective states-Euphoria, dysphoria, and fear. He talks about how psychology’s replication crisis makes it impossible to create a NLP model around their findings, essentially rendering all other models incomplete at […]