Hybrid model for short text classification with imbalanced data
US11328221B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 9, 2019 |
| Grant date | May 10, 2022 |
| Priority date | — |
| Expiry date | Feb 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of text classification includes generating a text embedding vector representing a text sample and applying weights of a regression layer to the text embedding vector to generate a first data model output vector. The method also includes generating a plurality of prototype embedding vectors associated with a respective classification labels and comparing the plurality of prototype embedding vectors to the text embedding vector to generate a second data model output vector. The method further includes assigning a particular classification label to the text sample based on the first data model output vector, the second data model output vector, and one or more weighting values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.