Using classified text and deep learning algorithms to identify entertainment risk and provide early warning
US9754219B1 · kind B1 · utility
6Cited by
4References
19Claims
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Key dates
| Filing date | Jan 23, 2017 |
| Grant date | Sep 5, 2017 |
| Priority date | — |
| Expiry date | Jan 23, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep learning is used to identify specific, potential entertainment risks to an enterprise while such risks before the enterprise commits large sums of money to a project. The system involves mining and using existing classifications of data (e.g., from a database of previously successful book and film franchises) to train one or more deep learning algorithms, and then examining a proposed entertainment document 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.