Graphical user interface for visualizing contributing factors to a machine-learning model's output
US11501084B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2022 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | May 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one example, a system can execute a first machine-learning model to determine an overall classification for a textual dataset. The system can also determine classification scores indicating the level of influence that each token in the textual dataset had on the overall classification. The system can select a first subset of the tokens based on their classification scores. The system can also execute a second machine-learning model to determine probabilities that the textual dataset falls into various categories. The system can determine category scores indicating the level of influence that each token had on a most-likely category determination. The system can select a second subset of the tokens based on their category scores. The system can then generate a first visualization depicting the first subset of tokens color-coded to indicate their classification scores and a second visualization depicting the second subset of tokens color-coded to indicate their category scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.