Product Information
What is Sentiment metrics?
Making Emotions Measurable
Have you ever noticed that when you're in a grumpy mood and things aren’t going your way, the world around you seems to be having a bad day too? It might not be surprising that moods and emotions are contagious. The Sentis™ app is a fun and simple way to log and share your feelings throughout the day. When people around the world check in with Sentis™, you can see how different locations are influenced by the emotions of others. Is Disney World truly the happiest place on Earth? Let’s find out!
App Features:
• Share your mood or emotion wherever you go
• Choose from 3 Sentis™:
o Feeling Good
o Feeling Content
o Feeling Bad
• Use the calculator tool to view the mood of any area on the map
• The calculator displays the Senti™ for the selected area by averaging the number of registered Sentis™
• Zoom in or out using the + and - buttons
• View recorded emotions within a one-mile radius of your location, at your favorite hangout spot, in your country, or even globally
• Share your Sentis™ on Facebook or Twitter
Upcoming Features:
Profiles
Personal timeline of dropped Sentis
Nearby friends alerts
Historical mood data based on geography
Help contribute to the world’s mood experiment.
How to use Sentiment metrics?
Sentiment Metrics is a mood-tracking and sharing app designed to help users record and share daily emotions, aggregating global user data to display regional emotional states, making emotions measurable.
Core Functions of Sentiment metrics
Sentiment tracking
Usage Scenarios of Sentiment metrics
- Record and share your daily emotions.
- Check the sentiment index for specific locations like Disneyland.
- Understand the emotional landscape of your location, frequent spots, country, or even globally.
- Share your emotions on social media like Facebook or Twitter.
- Participate in the global emotion experiment and contribute emotional data.
Common Questions about Sentiment metrics
What does Sentiment Metrics do?
How do I use Sentiment Metrics?
What are the core features of Sentiment Metrics?
What are the use cases for Sentiment Metrics?
