Detection of manual entry error
US12266197B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Feb 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/35
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and computer-implemented methods disclosed herein relate to detecting errors in manually entered data. In one embodiment, the system can identify a named entity automatically from a conversation between a customer and service agent with a named entity recognition model that employs natural language processing and machine learning to detect a word or string of words in the conversation that corresponds to a named entity category. In another embodiment, the system can determine whether data entered into a field on a service platform by the service agent includes an error by comparing the data entered with the named entity. In another embodiment, the system can transmit an alert to the service agent through the service platform when there is a mismatch between the named entity and the data entered.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.