System and method for domain-independent aspect level sentiment detection
US10628528B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 22, 2018 |
| Grant date | Apr 21, 2020 |
| Priority date | — |
| Expiry date | Nov 6, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for automated aspect-based sentiment analysis includes parsing reviews from a first domain to generate rhetorical structure trees and extracting rhetorical rules from the rhetorical structure trees, each rhetorical rule including a path extracted from at least one span in at least one of the rhetorical structure trees associated with a probability that the path corresponds to a positive or negative sentiment based on annotation data. The method further includes parsing reviews from a second domain to generate a second plurality of rhetorical structure trees, generating training data that associates at least one aspect in the review from the second domain with a sentiment associated with a rhetorical rule in the plurality of rhetorical rules, and training a classifier to identify sentiments in reviews from the second domain using the second plurality of reviews and the training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.