Method of training classification model, method of classifying sample, and device
US12340288B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2021 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Sep 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/091
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method of training a classification model, which relates to an active learning, neural network and natural language processing technology. A specific implementation scheme includes: selecting, from an original sample set, a plurality of original samples with a class prediction result meeting a preset condition as to-be-labeled samples according to a class prediction result for a plurality of original samples in the original sample set; labeling the to-be-labeled sample as belonging to a class by using the second classification model, so as to obtain a first labeled sample set; and training the first classification model by using the first labeled sample set. The present disclosure further provides a method of classifying a sample, an electronic device, and a storage medium.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.