Identifying attributes in unstructured data files using a machine-learning model
US11461680B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 21, 2020 |
| Grant date | Oct 4, 2022 |
| Priority date | — |
| Expiry date | Apr 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided herein are a system, apparatus, device, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for identifying attributes in unstructured data files using a machine-learning model. In an embodiment, a server can receive a request to identify an attribute associated with a set of unstructured data files. The server can extract a first and second subset of features from each unstructured data file of the set of unstructured data files. The server can identify the attribute in the set of unstructured data files request based on each of the first and second subset of features using the machine-learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.