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US Patent 11238079 Auto-classification system and method with dynamic user feedback

Patent 11238079 was granted and assigned to Open text on February, 2022 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Open text
Open text
Current Assignee
Open text
Open text
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11238079
Patent Inventor Names
Daniel Leclerc3
Alex Bowyer3
Charles-Olivier Simard3
Steve Molloy3
Date of Patent
February 1, 2022
Patent Application Number
16272278
Date Filed
February 11, 2019
Patent Citations
‌
US Patent 10235453 Auto-classification system and method with dynamic user feedback
Patent Citations Received
‌
US Patent 12135737 Graphical user interface and pipeline for text analytics
1
‌
US Patent 11941082 Technologies for classifying feedback using machine learning models
2
Patent Primary Examiner
‌
Hau H Hoang
Patent 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.

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