The SELINA data models work best to give prediction analysis to events that have human elements involved. Why? Because she assigns numeric ‘weight’ to linguistic data points supplied by people using social media, she can correlate and cross-reference a wide range of socially influenced data points with more traditional, statistical data points. Essentially, while traditional data models go askew while trying to account for the Human Element, SELINA excels.
SELINA.AI can be interacted with via membership powered by our SLNA token. Additionally, all of her public prediction results are digitally signed prior to an event for free on JUNO.
Coming soon, the SLNA token will be released where users can use the token in a variety of ways:
SELINA.AI scans and extracts social media data including text, location, social trees and time. The more data collected, the more accurate SELINA.AI is...
The extracted text is run through proprietary linguistic filters and assigned numeric weight, along with additional data points...
All collected data (social, statistical, custom) are combined into data models (with up to 15,000 data points per subset) and simulated a minimum of 1,000,000 times
We chose the UFC as a the platform to test SELINA.AI’s growth and accuracy. We did this because the UFC: