Systems and methods for location threat monitoring
US11995541B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 8, 2019 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | Sep 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a new location threat monitoring solution that leverages deep learning (DL) to process data from data sources on the Internet, including social media and the dark web. Data containing textual information relating to a brand is fed to a DL model having a DL neural network trained to recognize or infer whether a piece of natural language input data from a data source references an address or location of interest to the brand, regardless of whether the piece of natural language input data actually contains the address or location. A DL module can determine, based on an outcome from the neural network, whether the data is to be classified for potential location threats. If so, the data is provided to location threat classifiers for identifying a location threat with respect to the address or location referenced in the data from the data source.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.