Method of text classification using discriminative topic transformation
US9069798B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 24, 2012 |
| Grant date | Jun 30, 2015 |
| Priority date | — |
| Expiry date | Sep 21, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Text is classified by determining text features from the text, and transforming the text features to topic features. Scores are determined for each topic features using a discriminative topic model. The model includes a classifier that operates on the topic features, wherein the topic features are determined by the transformation from the text features, and the transformation is optimized to maximize the scores of a correct class relative to the scores of incorrect classes. Then, a class label with a highest score is selected for the text. In situations where the classes are organized in a hierarchical structure, the discriminative topic models apply to classes at each level conditioned on previous levels and scores are combined across levels to evaluate the highest scoring class labels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.