Machine learning based analysis of electronic communications
US12190214B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 5, 2023 |
| Grant date | Jan 7, 2025 |
| Priority date | — |
| Expiry date | Oct 5, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/212
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable. Subsequently, the computing platform may trigger, based on a determination that the potentially unacceptable electronic communication is unacceptable, one or more actions associated with the unacceptable electronic communication.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.