Double-barreled question predictor and correction
US12141663B2 · kind B2 · utility
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16Claims
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Key dates
| Filing date | Jun 24, 2020 |
| Grant date | Nov 12, 2024 |
| Priority date | — |
| Expiry date | Aug 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0203
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method includes gathering data samples into a data set, correcting for imbalance in the data set to produce a corrected data set by applying active learning to the data set to increase a number of double barreled question data samples occurring in the data set, selecting an optimal machine learning model for the corrected data set, training the optimal machine learning model using the corrected data set, operating the optimal machine learning model on new data to produce a prediction result, and generating a visual representation of at least one prediction results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.