Feature engineering

Learn about how Affective Computing (powered by Virtue) categorizes and clusters data provided to it.

Feature engineering involves creating attributes for various actions and is done generatively based on your input. It requires feedback for model learning and employs feature selection for effective data categorization and clustering. The Strategy engine uses outputs from the Sensations engine, which gathers comprehensive user data (physiological, behavioral, environmental) to generate personalized actions.

Advantage

Feature engineering offers you the ability to tailor attributes to their specific needs, which ensures that the actions generated by Affective Computing (powered by Virtue) for your solution are highly personalized and relevant.

Use cases

• You can fine-tune user experiences by developing unique attributes for actions, based on specific user data.

• In scenarios requiring intricate data interpretation, feature engineering aids in creating effective user interaction strategies.