Systems and methods for automatically assessing constructed recommendations based on sentiment and specificity measures
US10515153B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 16, 2014 |
| Grant date | Dec 24, 2019 |
| Priority date | — |
| Expiry date | Jul 11, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method of training an assessment model for assessing constructed texts expressing opinions on subjects includes accessing a plurality of training texts, which are constructed texts. The training texts are analyzed with the processing system to derive values of a plurality of linguistic features of an assessment model. At least one of the plurality of linguistic features relates to sentiment and at least one of the plurality of linguistic feature relates to specificity. The assessment model is trained with the processing system based on the values of the plurality of linguistic features. Based on the training, a weight for each of the plurality of linguistic features is determined. The assessment model is calibrated to include the weights for at least some of the plurality of linguistic features such that the assessment model is configured to generate assessment measures for constructed texts expressing opinions on subjects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.