Machine learning techniques for analyzing textual content
US11487947B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2019 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | Aug 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for using machine learning techniques to analyze textual content. In one technique, a potential item is identified within a document. An analysis of the potential item is performed at multiple levels of granularity that includes two or more of a sentence level, a segment level, or a document level. The analysis produces multiple outputs, one for each level of granularity in the multiple levels of granularity. The outputs are input into a machine-learned model to generate a score for the potential item. Based on the score, the potential item is presented on a computing device. In response to user selection of the potential item, an association between the potential item and the document is created. The association may be used later to identify a set of users to which the document (or data thereof) is to be presented.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.