Natural language processing and machine-learning for event impact analysis
US12346346B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Feb 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods may use natural language processing (NLP) and machine-learning techniques to detect an impact that an event will have on a domain-specific topic. For example, the system may use multi-stage cleaning using a rules-based and an artificial intelligence (AI)-based filter to filter large quantities of event items that may not be relevant to a domain of interest. The AI-based filter may be trained using labeled event items that were previously known to be impactful. The system may cluster the cleaned event items to group similar event items and eliminate redundancy. The system may then predict and quantify the impact that events described by clustered event items will have on the domain-specific topic. Such prediction may be based on a classifier trained using various model features that correlate with impactful events, including prior similar events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.