Using classified text and deep learning algorithms to identify risk and provide early warning
US9760850B1 · kind B1 · utility
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19Claims
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Key dates
| Filing date | Jan 24, 2017 |
| Grant date | Sep 12, 2017 |
| Priority date | — |
| Expiry date | Jan 24, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L9/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep learning is used to identify specific, potential risks to an enterprise (of which litigation is the prime example) while such risks are still internal electronic communications. The system involves mining and using existing classifications of data (e.g., from a litigation database) to train one or more deep learning algorithms, and then examining the internal electronic communications with the trained algorithm, to generate a scored output that will enable enterprise personnel to be alerted to risks and take action in time to prevent the risks from resulting in harm to the enterprise or others.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.