Method and system for analyzing entities
US10445356B1 · kind B1 · utility
20Cited by
5References
15Claims
0Family size
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Key dates
| Filing date | Jun 23, 2017 |
| Grant date | Oct 15, 2019 |
| Priority date | — |
| Expiry date | Dec 8, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A recurrent neural network (RNN) method implemented on a computer system is used to produce summaries of unstructured text generated by multiple networks of individuals interacting over time by encoding the unstructured text into intermediate representations and decoding the intermediate representations into summaries of each network. Parameter data for the RNN is obtained by using multiple different versions of the same source texts to train the computer system. The method and computer system can be used to identify which of the networks match a query by determining which network generates the query with low or lowest cost.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.