Multi-modality classification for one-class classification in social networks
US8386574B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2009 |
| Grant date | Feb 26, 2013 |
| Priority date | — |
| Expiry date | Aug 31, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/29
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A classification apparatus, method, and computer program product for multi-modality classification are disclosed. For each of a plurality of modalities, the method includes extracting features from objects in a set of objects. The objects include electronic mail messages. A representation of each object for that modality is generated, based on its extracted features. At least one of the plurality of modalities is a social network modality in which social network features are extracted from a social network implicit in the set of electronic mail messages. A classifier system is trained based on class labels of a subset of the set of objects and on the representations generated for each of the modalities. With the trained classifier system, labels are predicted for unlabeled objects in the set of objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.