Open Text Corporation
Auto-classification system and method with dynamic user feedback
Last updated:
Abstract:
In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.
Status:
Grant
Type:
Utility
Filling date:
11 Feb 2019
Issue date:
1 Feb 2022