VERN AI
2.33
0
VERNai detects and analyzes human emotions in communications, predicting intent intensity on a 0-100% scale.
What is VERN AI?
VERNai is an emotion recognition software system developed to detect human emotions in communications by analyzing distinct emotional signals at the lexical and corpus levels. It predicts the user's intent on a scale of 0-100%, representing the intensity of the emotion present. VERNai analyzes emotions such as anger, sadness, love & affection, fear, and humor, providing insights into the emotional content of messages. The system is designed to be explainable, flexible, and as non-biased as possible to accurately score emotions in a way that people can understand.
Who created VERN AI?
VERN AI was created by Craig Tucker, Bryan Novak, and Edward Christensen. It was launched on April 10, 2023. The company focuses on providing emotion recognition tools for various applications such as chatbots, virtual assistants, and mental health tools. VERN AI distinguishes between distinct emotions such as anger, fear, love & affection, and sadness, aiming to provide accurate and real-time emotion analysis.
What is VERN AI used for?
- Content moderation
- Chatbots and virtual assistants
- Mental health applications
- Internal and external communications analysis
- Human resources applications
- Marketing analysis
- Social media analysis
- Public relations analysis
- Powering various applications like chatbots, virtual assistants, RPA, and more
- Analyzing marketing campaigns and public sentiment
How to use VERN AI?
To use VERN™ AI, follow these steps:
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Register:
- Register on the VERN™ AI website to obtain your API key promptly. This key allows you to access the dashboard to monitor results, toggle specific emotions, and manage your credentials.
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Pick Your Use Case:
- Determine how you will use VERN™ AI. Whether for chatbots, content analysis, social listening, or other applications, choose the use case that aligns with your goals.
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Integration:
- Integrate VERN™ AI into your system using the provided API service or through AI marketplaces. The API allows live text analysis with results presented in a JSON format. Active API keys are necessary for requests.
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On-Premises Option:
- VERN™ AI is available through various marketplaces and can be directly integrated into ML Ops projects or used on your server. Different packages are offered based on the marketplace.
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Emotional Signals:
- VERN™ AI detects emotions like Anger, Sadness, Fear, Love & Affection, and Humor. Each emotion is analyzed based on conceptual frameworks and provides insights into the emotional content of communications.
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Deployment:
- Implement VERN™ AI in chatbots, virtual assistants, mental health tools, and various communication analysis scenarios like HR, marketing, and social media. The tool offers real-time emotion analysis and aims to go beyond basic sentiment analysis by focusing on distinct emotions.
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Support and Assistance:
- Benefit from 24/7 support provided by VERN™ AI's team of professionals who can assist with planning and executing your applications powered by VERN™ AI.
By following these steps, you can effectively utilize VERN™ AI to analyze and understand emotions in your communications and applications.
Pros
- VERN™ provides analysis of distinct emotions such as Anger, Sadness, Fear, Love & Affection, and Humor.
- It is successful in chatbots, virtual assistants, and mental health applications.
- VERN™ can be used for internal and external communications analysis.
- The tool offers easy integration and provides results in real-time.
- It emphasizes moving beyond sentiment analysis to focus on specific emotions for empathy.
- VERN™ is designed to power various applications like chatbots, virtual assistants, RPA, social listening, and human resource tools.
- It claims to be better, faster, and more accurate than traditional sentiment analysis.
- The tool provides a sample sheet of pre-scored analyses for accuracy.
- VERN™ offers ready-made solutions through Kore.ai bots and custom software.
- It provides 24/7 support for assistance.
Cons
- The analysis of Humor is still in experimentation phase and not provided in the current version of VERN AI
- No method available to measure fear, only measures sender's fear response
VERN AI FAQs
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What emotions does VERN™ analyze?
- VERN™ provides analysis of Anger, Sadness, Love & Affection, Fear, and Humor.
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How is Anger conceptualized in VERN™?
- Anger in VERN™ is conceptualized as the recognition of a malignant incongruity.
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In simple terms, how is sadness described in VERN™?
- Sadness in VERN™ is described as the communication of dread and resignation.
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What is the unique characteristic of the Love & Affection analysis in VERN™?
- Love & Affection analysis in VERN™ is conceptualized as the absence of an incongruity.
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How does VERN™ analyze Fear signals?
- VERN™ measures the sender's fear response to detect Fear signals.
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What type of incongruity does Humor analyze in VERN™?
- Humor in VERN™ analyzes the detection of a benign incongruity.
Get started with VERN AI
VERN AI reviews
Rajesh Kumar
January 6, 2025
What do you like most about using VERN AI?
I appreciate the concept of emotion detection. It's a novel idea that could potentially enhance communication analysis.
What do you dislike most about using VERN AI?
The accuracy is quite low. I've tested it with multiple conversations, and it often misinterprets emotions, leading to confusion.
What problems does VERN AI help you solve, and how does this benefit you?
I hoped it would help in understanding client emotions better in marketing. However, it often fails to provide reliable insights, which is disappointing.
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Fatima El Amrani
December 20, 2024
What do you like most about using VERN AI?
I find the idea of analyzing emotions quite interesting. The interface is user-friendly, which makes it easy to navigate.
What do you dislike most about using VERN AI?
It's quite limited in its emotional range. I expected more nuanced insights beyond just basic emotions.
What problems does VERN AI help you solve, and how does this benefit you?
It helps in reviewing customer feedback, but the insights aren't always actionable due to inaccuracies.
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Maya Patel
December 18, 2024
What do you like most about using VERN AI?
I like the ambition of the tool—emotion recognition is crucial for many applications.
What do you dislike most about using VERN AI?
The performance is frustratingly poor. It misreads emotions often, making it unreliable for my needs.
What problems does VERN AI help you solve, and how does this benefit you?
It claimed to assist in improving communication strategies, but I found it more of a hindrance due to its inaccuracies.
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