Using classified text and deep learning algorithms to identify support for financial advantage and provide notice
US9754218B1 · kind B1 · utility
2Cited by
5References
18Claims
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Key dates
| Filing date | Jan 13, 2017 |
| Grant date | Sep 5, 2017 |
| Priority date | — |
| Expiry date | Jan 13, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/0635
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep learning is used to identify specific, potential financial advantage for an enterprise that are hidden in internal electronic documents. The system involves mining and using existing classifications of data (e.g., from previously sorted documents) to train one or more deep learning algorithms, and then examining internal electronic documents with the trained algorithm, to generate a scored output that will enable enterprise personnel to evaluate the identified documents for a potential financial advantage to the enterprise.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.