Determining concept relationships in document collections utilizing a sparse graph recovery machine-learning model
US12159110B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 6, 2022 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Feb 9, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and computer-readable media for utilizing a concept graphing system to determine and provide relationships between concepts within document collections or corpora. For example, the concept graphing system can generate and utilize machine-learning models, such as a sparse graph recovery machine-learning model, to identify less-obvious correlations between concepts, including positive and negative concept connections, as well as provide these connections within a visual concept graph. Additionally, the concept graphing system can provide a visual concept graph that determines and displays concept correlations based on the input of a single concept, multiple concepts, or no concepts.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.