Machine learning methods to determine a likelihood for an event to occur through sentiment analysis of digital conversations
US12079583B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 6, 2023 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Oct 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method can comprise accessing a trained learning machine, evaluating, using the machine learning model, the transcript to output a first sentiment score related to the first party in the unique domain, accessing digital engagement data representing engagement of the first party with digital assets associated with the second party, evaluating the one or more sentiment score values and the digital engagement data to output a value indicative of a likelihood of the first party to take a particular action, and determining whether the value is above a threshold, and if so, automatically sending a notification to a computer device associated with the second party.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.