Integrate AI emotion statistics into your website in just one minute!
MorphCast AI Emotion Statistics: Thanks to AI facial emotion recognition (FER), empower your strategy with data-driven decisions through real-time emotional statistics on your website.
MorphCast AI Facial Emotion Statistics is a comprehensive solution for monitoring and analyzing the emotional impact of your web content, web apps, or even native iOS or Android apps. Whether you’re looking to enhance your audience’s engagement, optimize the design of your site, or conduct market research, this dashboard can provide you with the data you need.
Extremely easy to integrate. Its main strength lies in its rapid deployment. In just a minute, you have your dashboard ready to collect valuable statistical data for your work! The dashboard is seamlessly integrated with the MorphCast Facial Emotion Recognition AI engine. Once the snippet code is paste into your web pages, you can immediately start monitoring and analyzing the emotions of your users.
What it can track. The dashboard offers a series of detailed reports covering a wide variety of emotional metrics:
- 98 affects (Russel, Sherer, Klaus model)
- Quadrants (Russel, Sherer, Klaus model)
- 6 emotions (Ekman model)
Refer to this document about “How our Emotion AI works – Responsibility, Transparency and Clarity” that explains how and what MorphCast Emotion AI can track. With just a click, you can select the modules to activate, determining what you want to track in your dashboard.
User-friendly. The user interface of the dashboard is designed to be easy to use. You can easily switch from one analysis to another, filter data based on various criteria, and customize reports to suit your needs. Various downloads are available such as CSV file, PDF, Json.
Support for various devices. You can access the dashboard from any device with an internet connection, including smartphones, tablets, and computers. This allows you to monitor the emotions of your users at any time and place.
In line with our philosophy of providing free and valuable tools and services, we have implemented a generous Freemium model. For more details and opportunities to get free licences, check out our pricing policy!
The MorphCast AI Facial Emotion Statistics is a groundbreaking solution that brings together integration convenience, and in-depth emotional tracking, thereby revolutionizing the way you engage with your audience. This dashboard is not just about numbers or stats, but about understanding the emotional responses of your users to your contents.
Designed to seamlessly integrate with web content, apps, and even native iOS or Android apps, it allows businesses and professionals to monitor and analyze the emotional impact of their content. Its USP lies in its ability to deploy rapidly, within just a few minutes, and start gathering valuable insights instantly.
The level of customization is another aspect that sets the MorphCast AI Emotion Statistics apart. You can choose what to track and how detailed you want the reports to be. The spectrum of emotions that can be analyzed is extensive, ranging from basic emotions to affect models with 98 different mood.
Furthermore, the dashboard has been designed with you in mind. Its interface is straightforward and easy to use, facilitating seamless transition between analyses, filtering data, and customizing reports. You can access it from any device with an internet connection, giving you the flexibility to keep track of your users’ emotions anytime, anywhere.
Given its powerful features and the immense value it can add to understanding user engagement, the MorphCast Emotion AI Dashboard is a game-changing tool. Check out our pricing policy and you’ll find that such a comprehensive solution comes at a surprisingly affordable cost.
MorphCast Emotion AI marks a paradigm shift in emotional tracking and offers a valuable resource for enhancing user engagement and refining content strategy.
- Russell, J., Lewicka, M. & Niit, T. (1989). A cross-cultural study of a circumplex model of affect. Journal of personality and social psychology, 57, 848–856.
- Ekman, P. (1999). Basic emotions. Handbook of cognition and emotion, 98(45-60), 16.
- Scherer, Klaus. (2005). Scherer KR. What are emotions? And how can they be measured? Soc Sci Inf 44: 695-729. Social Science Information. 44. 695-792.
- G. Paltoglou and M. Thelwall (2013), “Seeing Stars of Valence and Arousal in Blog Posts,” in IEEE Transactions on Affective Computing, vol. 4, no. 1, pp. 116-123, Jan.-March 2013, doi: 10.1109/T-AFFC.2012.36.