Model-driven data insights for latent topic materiality
US12423386B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Jan 19, 2024 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Jan 19, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are machine learning methods and systems for locating and tracking performance of latent themes in changing data from disparate sources. Themes may be indirect goals or consequential impacts indicated by latent topics. Identifying performance indicators of latent themes in large changing data sets uncovers underlying trends or previously concealed behaviors that may be accelerating or undermining goals.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.